From 8896a93f582d8a198bc384041b14dbfe16f545c4 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 08:52:16 +1200 Subject: [PATCH 01/15] fix bug in habitat codes for resident distributions --- DESCRIPTION | 2 +- NEWS.md | 11 +++++++++++ R/collate_spp_info_data.R | 35 ++++++++++++++++++++++++++++++++--- R/internal.R | 3 +++ R/read_spp_range_data.R | 2 +- inst/CITATION | 4 ++-- 6 files changed, 50 insertions(+), 7 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index fd4bd6c9..6478d1b5 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: aoh Type: Package -Version: 0.0.2.11 +Version: 0.0.2.12 Title: Create Area of Habitat Data Description: Create Area of Habitat data to characterize species distributions. Data are produced following procedures outlined by Brooks et al. (2019) diff --git a/NEWS.md b/NEWS.md index 6c0451cb..e7e7b1a5 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,14 @@ +# aoh 0.0.2.12 + +- Fix bug in `create_spp_info_data()` where (i) habitat types for resident + distributions of non-migratory species would not include those exclusively + affiliated with passage distributions and (iii) habitat types for resident + distributions of migratory species include those exclusively affiliated with + passage distributions. Thanks to Jianqiao Zhao for raising this issue. +- Fix bug in `create_spp_aoh_data()` that caused errors when using the GDAL + engine on macOS systems. +- Fix URLs. + # aoh 0.0.2.11 - Fix bug in `create_spp_info_data()` so that the IUCN Red List API key can be diff --git a/R/collate_spp_info_data.R b/R/collate_spp_info_data.R index 5c02bd4b..4c2b222c 100644 --- a/R/collate_spp_info_data.R +++ b/R/collate_spp_info_data.R @@ -199,34 +199,63 @@ collate_spp_info_data <- function(x, spp_habitat_data <- spp_habitat_data[idx, , drop = FALSE] ## if exact matches for habitat codes should not be used then... if (isTRUE(adjust_habitat_codes)) { - ### create new data by merging habitat codes following KBA guidelines + ### create new data by merging habitat codes based on KBA guidelines + ### and personal communications with Busana M. and Butchart S.H.M. at + ### BirdLife International spp_habitat_data <- dplyr::bind_rows( list( ### resident (non-migratory species) + #### NOTE: we include habitat types listed for all seasonal + #### distributions. although non-migratory + #### species should not have any habitat types affiliated with + #### non-residential distributions, this can happen due to + #### errors/discrepancies in the IUCN Red List data prepare_habitat_codes( - dplyr::filter(spp_habitat_data, .data$seasonal %in% migratory_ids), + dplyr::filter(spp_habitat_data, !.data$seasonal %in% migratory_ids), focal_seasonal = 1L, extra_seasonal = c(2L, 3L, 4L, 5L, NA_integer_) ), ### resident (migratory species) + #### NOTE: we do not include passage (code 4) habitat types here + #### for migratory bird species because these might be substantially + #### diferent from resident distriubtions prepare_habitat_codes( - dplyr::filter(spp_habitat_data, !.data$seasonal %in% migratory_ids), + dplyr::filter(spp_habitat_data, .data$seasonal %in% migratory_ids), focal_seasonal = 1L, extra_seasonal = c(2L, 3L, 5L, NA_integer_) ), ### breeding + #### NOTE: we include habitat types listed for resident (code 1), + #### breeding (code 2) and seasonality uncertain (code 5) when + #### mapping the breeding distributions, per KBA guidelines prepare_habitat_codes( spp_habitat_data, focal_seasonal = 2L, extra_seasonal = c(1L, 5L, NA_integer_) ), ### non-breeding + #### NOTE: we include habitat types listed for resident (code 1), + #### non-breeding (code 2) and seasonality uncertain (code 5) when + #### mapping the non-breeding distributions, per KBA guidelines prepare_habitat_codes( spp_habitat_data, focal_seasonal = 3L, extra_seasonal = c(1L, 5L, NA_integer_) ), ### passage + #### NOTE: we include habitat types listed for resident (code 1), + #### passage (code 24 and seasonality uncertain (code 5) when + #### mapping the passage distributions, following a similar + #### rationale for the breeding and non-breeding distributions. + #### although the resident distribution for migratory species + #### does not consider habitat types listed for passage + #### distributions (based on the rationale that species might + #### have habitat types unique to their passage distribution), + #### we include habitat types for resident distributions here + #### since (i) many species are missing habitat types for their + #### passage distributions and (ii) if the habitat types are + #### used during the resident distribution, then they are + #### likely used during passage (but not vice versa) prepare_habitat_codes( spp_habitat_data, focal_seasonal = 4L, diff --git a/R/internal.R b/R/internal.R index 051df6bf..b34b3b8e 100644 --- a/R/internal.R +++ b/R/internal.R @@ -44,6 +44,9 @@ normalize_path <- function(path, winslash = "\\", mustWork = NA) { if (identical(.Platform$OS.type, "unix")) { # if on a Unix platform, then we just need to use normalizePath() out <- normalizePath(path, winslash = winslash, mustWork = mustWork) + # if on a macOS system, this sometimes results in file paths + # that contain "//" instead of "/" for a folder separator + out <- gsub("//", "/", out, fixed = TRUE) } else { # if on a Windows platform, then things get a bit more complicated... if (!grepl("~", path, fixed = TRUE)) { diff --git a/R/read_spp_range_data.R b/R/read_spp_range_data.R index 61f0267c..b5fdb0b2 100644 --- a/R/read_spp_range_data.R +++ b/R/read_spp_range_data.R @@ -19,7 +19,7 @@ NULL #' (see https://www.iucnredlist.org/resources/spatial-data-download). #' Data for birds can be obtained by requesting data from #' [BirdLife International](https://www.birdlife.org/) -#' (see ). +#' (see ). #' To standardize data from the IUCN Red List and BirdLife International, #' the `"SISID"` and `"SISRecID"` columns are renamed as `"id_no"`. #' diff --git a/inst/CITATION b/inst/CITATION index 07d28d32..b1b49700 100644 --- a/inst/CITATION +++ b/inst/CITATION @@ -50,12 +50,12 @@ bibentry( title = "Bird species distribution maps of the world", year = "[insert year]", note = "Version [insert version]", - url = "http://datazone.birdlife.org/species/requestdis", + url = "https://datazone.birdlife.org/species/requestdis", textVersion = paste( "BirdLife International and Handbook of the Birds of the World", "([insert year]) Bird species distribution maps of the world.", "Version [insert version].", - "Available at http://datazone.birdlife.org/species/requestdis." + "Available at https://datazone.birdlife.org/species/requestdis." ) ) From 82247a6883b61bbe3e674271e3f37312f3a42a5d Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 09:14:08 +1200 Subject: [PATCH 02/15] fix bug in column names --- NEWS.md | 12 +++++++----- R/collate_spp_info_data.R | 6 +++--- 2 files changed, 10 insertions(+), 8 deletions(-) diff --git a/NEWS.md b/NEWS.md index e7e7b1a5..a158c976 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,10 +1,12 @@ # aoh 0.0.2.12 -- Fix bug in `create_spp_info_data()` where (i) habitat types for resident - distributions of non-migratory species would not include those exclusively - affiliated with passage distributions and (iii) habitat types for resident - distributions of migratory species include those exclusively affiliated with - passage distributions. Thanks to Jianqiao Zhao for raising this issue. +- Fix bug in `create_spp_info_data()` in assigning habitat types for resident + distributions of migratory and non-migratory species. This bug meant that (i) + habitat types for resident distributions of migratory species would include + those exclusively affiliated with the species' passage distributions and (ii) + habitat types for resident distributions of non-migratory species would not + include those exclusively affiliated with the species' passage distributions. + Thanks to Jianqiao Zhao for raising this issue. - Fix bug in `create_spp_aoh_data()` that caused errors when using the GDAL engine on macOS systems. - Fix URLs. diff --git a/R/collate_spp_info_data.R b/R/collate_spp_info_data.R index 4c2b222c..3c1a78b4 100644 --- a/R/collate_spp_info_data.R +++ b/R/collate_spp_info_data.R @@ -211,16 +211,16 @@ collate_spp_info_data <- function(x, #### non-residential distributions, this can happen due to #### errors/discrepancies in the IUCN Red List data prepare_habitat_codes( - dplyr::filter(spp_habitat_data, !.data$seasonal %in% migratory_ids), + dplyr::filter(spp_habitat_data, !.data$id_no %in% migratory_ids), focal_seasonal = 1L, extra_seasonal = c(2L, 3L, 4L, 5L, NA_integer_) ), ### resident (migratory species) #### NOTE: we do not include passage (code 4) habitat types here #### for migratory bird species because these might be substantially - #### diferent from resident distriubtions + #### different from resident distributions prepare_habitat_codes( - dplyr::filter(spp_habitat_data, .data$seasonal %in% migratory_ids), + dplyr::filter(spp_habitat_data, .data$id_no %in% migratory_ids), focal_seasonal = 1L, extra_seasonal = c(2L, 3L, 5L, NA_integer_) ), From a18312383df34824726208fba4e6fb424e28e0c8 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 09:14:44 +1200 Subject: [PATCH 03/15] update man --- man/read_spp_range_data.Rd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/man/read_spp_range_data.Rd b/man/read_spp_range_data.Rd index 1c74eb94..344f45d1 100644 --- a/man/read_spp_range_data.Rd +++ b/man/read_spp_range_data.Rd @@ -26,7 +26,7 @@ the International Union for Conservation of Nature (IUCN) Red List website (see https://www.iucnredlist.org/resources/spatial-data-download). Data for birds can be obtained by requesting data from \href{https://www.birdlife.org/}{BirdLife International} -(see \url{http://datazone.birdlife.org/species/requestdis}). +(see \url{https://datazone.birdlife.org/species/requestdis}). To standardize data from the IUCN Red List and BirdLife International, the \code{"SISID"} and \code{"SISRecID"} columns are renamed as \code{"id_no"}. } From 47eb5c127bf3017d1dca2e434290a07a65336e92 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 10:21:16 +1200 Subject: [PATCH 04/15] fix url --- vignettes/customization.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/customization.Rmd b/vignettes/customization.Rmd index feeb1068..ada22e5f 100644 --- a/vignettes/customization.Rmd +++ b/vignettes/customization.Rmd @@ -27,7 +27,7 @@ knitr::opts_chunk$set(fig.align = "center", eval = !is_check) ## Introduction -The _aoh R_ package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson _et al._ [-@r4] and habitat classification data derived from Lumbierres _et al._ [-@r9]. Its defaults also include using species' elevational limit and habitat preference data from the [International Union for Conservation of Nature (IUCN) Red List of Threatened Species](https://www.iucnredlist.org/). In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources [e.g., from @r5]. The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from [Copernicus Corine Land Cover](https://land.copernicus.eu/en/products/corine-land-cover) data or species' elevational limit data from the [BirdLife Data Zone](http://datazone.birdlife.org/home). +The _aoh R_ package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson _et al._ [-@r4] and habitat classification data derived from Lumbierres _et al._ [-@r9]. Its defaults also include using species' elevational limit and habitat preference data from the [International Union for Conservation of Nature (IUCN) Red List of Threatened Species](https://www.iucnredlist.org/). In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources [e.g., from @r5]. The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from [Copernicus Corine Land Cover](https://land.copernicus.eu/en/products/corine-land-cover) data or species' elevational limit data from the [BirdLife Data Zone](https://datazone.birdlife.org/home). ## Tutorial From 69370736c5f9d94aeb286b08a1d49c7963d82348 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 10:22:09 +1200 Subject: [PATCH 05/15] add error handling for gdal_calc --- R/terra_gdal_calc.R | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/R/terra_gdal_calc.R b/R/terra_gdal_calc.R index 8f3d05c5..fac83ed7 100644 --- a/R/terra_gdal_calc.R +++ b/R/terra_gdal_calc.R @@ -229,6 +229,8 @@ terra_gdal_calc <- function(x, expr, if (isTRUE(verbose)) { cli::cli_alert_info(paste("System command:", cmd)) } + + # run gdal_calc via system command system(cmd, intern = !verbose) # clean up @@ -246,6 +248,15 @@ terra_gdal_calc <- function(x, expr, unlink(f3, force = TRUE) } + # verify output file exists + assertthat::assert_that( + file.exists(filename), + msg = paste0( + "failed to run `gdal_calc.py` script: output file \"", + filename, "\ does not exist" + ) + ) + # return result if (output_raster) { return(stats::setNames(terra::rast(filename), nms)) From ee2fe7438ee007fc6a5c0bc71068ea397fb15e65 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 10:59:22 +1200 Subject: [PATCH 06/15] skip gdal calc tests on macos - this is because there seems to be issue with temp dirs on github actions mac runners --- R/terra_gdal_calc.R | 2 +- tests/testthat/test_create_spp_aoh_data.R | 2 ++ tests/testthat/test_create_spp_frc_data.R | 3 ++- tests/testthat/test_terra_gdal_calc.R | 4 ++++ 4 files changed, 9 insertions(+), 2 deletions(-) diff --git a/R/terra_gdal_calc.R b/R/terra_gdal_calc.R index fac83ed7..1958fdef 100644 --- a/R/terra_gdal_calc.R +++ b/R/terra_gdal_calc.R @@ -253,7 +253,7 @@ terra_gdal_calc <- function(x, expr, file.exists(filename), msg = paste0( "failed to run `gdal_calc.py` script: output file \"", - filename, "\ does not exist" + filename, "\" does not exist" ) ) diff --git a/tests/testthat/test_create_spp_aoh_data.R b/tests/testthat/test_create_spp_aoh_data.R index 6e4dcb88..3648565a 100644 --- a/tests/testthat/test_create_spp_aoh_data.R +++ b/tests/testthat/test_create_spp_aoh_data.R @@ -87,6 +87,7 @@ test_that("simulated data (GDAL engine)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() + skip_on_os("mac") # specify file path f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") elevation_data <- terra::rast( @@ -549,6 +550,7 @@ test_that("small range data (rasterize_touches, engine = gdal)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() + skip_on_os("mac") # specify file path f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") elevation_data <- terra::rast( diff --git a/tests/testthat/test_create_spp_frc_data.R b/tests/testthat/test_create_spp_frc_data.R index 358050b6..0b1287d8 100644 --- a/tests/testthat/test_create_spp_frc_data.R +++ b/tests/testthat/test_create_spp_frc_data.R @@ -66,7 +66,8 @@ test_that("different engines produce same result", { # skip if needed skip_on_cran() skip_if_not_installed("gdalUtilities") - skip_if_gdal_calc_not_available() + skip_if_gdal_calc_not_available()\ + skip_on_os("mac") # specify file path f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") elevation_data <- terra::rast( diff --git a/tests/testthat/test_terra_gdal_calc.R b/tests/testthat/test_terra_gdal_calc.R index 45ea08f7..4d6ed5de 100644 --- a/tests/testthat/test_terra_gdal_calc.R +++ b/tests/testthat/test_terra_gdal_calc.R @@ -4,6 +4,7 @@ test_that("single layer (in memory)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() + skip_on_os("mac") # create data x <- terra::rast( ncols = 40, nrows = 40, xmin = -110, xmax = -90, ymin = 40, ymax = 60, @@ -23,6 +24,7 @@ test_that("two layers", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() + skip_on_os("mac") # create data x <- terra::rast( ncols = 40, nrows = 40, xmin = -110, xmax = -90, ymin = 40, ymax = 60, @@ -43,6 +45,7 @@ test_that("three layers (in memory)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() + skip_on_os("mac") # create data x <- terra::rast( ncols = 40, nrows = 40, xmin = -110, xmax = -90, ymin = 40, ymax = 60, @@ -66,6 +69,7 @@ test_that("three layers (on disk)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() + skip_on_os("mac") # create paths f1 <- tempfile(fileext = ".tif") f2 <- tempfile(fileext = ".tif") From 59ec4d427fe3bf04bc193b686dc3f354f506750f Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 11:45:21 +1200 Subject: [PATCH 07/15] try again --- tests/testthat/test_create_spp_frc_data.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/testthat/test_create_spp_frc_data.R b/tests/testthat/test_create_spp_frc_data.R index 0b1287d8..871ed798 100644 --- a/tests/testthat/test_create_spp_frc_data.R +++ b/tests/testthat/test_create_spp_frc_data.R @@ -66,7 +66,7 @@ test_that("different engines produce same result", { # skip if needed skip_on_cran() skip_if_not_installed("gdalUtilities") - skip_if_gdal_calc_not_available()\ + skip_if_gdal_calc_not_available() skip_on_os("mac") # specify file path f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") From bc995b5a7ac844deef7c4e59b502b794d9474996 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 13:34:30 +1200 Subject: [PATCH 08/15] update docs --- README.md | 4 +- docs/404.html | 2 +- docs/articles/aoh.html | 22 +++++----- .../figure-html/unnamed-chunk-10-1.png | Bin 1125991 -> 1125843 bytes docs/articles/customization.html | 36 ++++++++--------- .../figure-html/unnamed-chunk-15-1.png | Bin 1186942 -> 1186898 bytes docs/articles/index.html | 2 +- docs/authors.html | 10 ++--- docs/index.html | 6 +-- docs/news/index.html | 8 +++- docs/pkgdown.yml | 2 +- docs/reference/Rplot003.png | Bin 91460 -> 91465 bytes docs/reference/aoh.html | 2 +- docs/reference/calc_spp_frc_data.html | 32 +++++++-------- docs/reference/create_spp_aoh_data.html | 24 +++++------ docs/reference/create_spp_frc_data.html | 22 +++++----- docs/reference/create_spp_info_data.html | 12 +++--- docs/reference/crosswalk_jung_lvl1_data.html | 2 +- docs/reference/crosswalk_jung_lvl2_data.html | 2 +- docs/reference/crosswalk_jung_plvl1_data.html | 2 +- docs/reference/crosswalk_lumb_cgls_data.html | 2 +- docs/reference/figures/README-map-1.png | Bin 336493 -> 336461 bytes docs/reference/get_global_elevation_data.html | 2 +- .../reference/get_jung_lvl1_habitat_data.html | 2 +- .../reference/get_jung_lvl2_habitat_data.html | 2 +- .../get_jung_plvl1_habitat_data.html | 2 +- .../reference/get_lumb_cgls_habitat_data.html | 2 +- docs/reference/get_spp_habitat_data.html | 4 +- docs/reference/get_spp_summary_data.html | 4 +- docs/reference/get_spp_threat_data.html | 4 +- docs/reference/index.html | 2 +- docs/reference/is_gdal_calc_available.html | 2 +- docs/reference/is_grass_available.html | 2 +- docs/reference/is_iucn_rl_api_available.html | 2 +- docs/reference/is_osgeo4w_available.html | 2 +- .../iucn_habitat_codes_artificial.html | 2 +- .../iucn_habitat_codes_introduced.html | 2 +- docs/reference/iucn_habitat_codes_marine.html | 2 +- docs/reference/iucn_habitat_codes_misc.html | 2 +- .../iucn_habitat_codes_terrestrial.html | 2 +- docs/reference/iucn_habitat_data.html | 2 +- docs/reference/iucn_threat_data.html | 2 +- docs/reference/plot_spp_aoh_data-3.png | Bin 439382 -> 439566 bytes docs/reference/plot_spp_aoh_data.html | 22 +++++----- docs/reference/plot_spp_frc_data-3.png | Bin 483099 -> 483487 bytes docs/reference/plot_spp_frc_data.html | 22 +++++----- docs/reference/read_spp_range_data.html | 4 +- docs/reference/simulate_spp_data.html | 6 +-- docs/reference/st_repair_geometry.html | 2 +- docs/reference/system_gdal_version.html | 2 +- docs/reference/terra_combine.html | 2 +- docs/reference/terra_gdal_calc.html | 6 +-- docs/reference/terra_gdal_crop.html | 4 +- docs/reference/terra_gdal_project.html | 4 +- docs/reference/terra_gdal_rasterize.html | 2 +- inst/doc/aoh.html | 24 +++++------ inst/doc/customization.Rmd | 2 +- inst/doc/customization.html | 38 +++++++++--------- man/figures/README-map-1.png | Bin 336493 -> 336461 bytes 59 files changed, 189 insertions(+), 189 deletions(-) diff --git a/README.md b/README.md index 5b68af6a..41ac4f19 100644 --- a/README.md +++ b/README.md @@ -366,7 +366,7 @@ produce Area of Habitat data. relevant data using: Hanson JO (2024) aoh: Create Area of Habitat Data. R package version - 0.0.2.11. Available at https://github.com/prioritizr/aoh. + 0.0.2.12. Available at https://github.com/prioritizr/aoh. IUCN [insert year] IUCN Red List of Threatened Species. Version [insert version]. Available at www.iucnredlist.org. @@ -374,7 +374,7 @@ produce Area of Habitat data. BirdLife International and Handbook of the Birds of the World ([insert year]) Bird species distribution maps of the world. Version [insert version]. Available at - http://datazone.birdlife.org/species/requestdis. + https://datazone.birdlife.org/species/requestdis. Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos V, Rondinini C, Visconti P (2020). "A global map of terrestrial diff --git a/docs/404.html b/docs/404.html index c8cd5367..f440a131 100644 --- a/docs/404.html +++ b/docs/404.html @@ -32,7 +32,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/articles/aoh.html b/docs/articles/aoh.html index 0f06af7f..d76ca25b 100644 --- a/docs/articles/aoh.html +++ b/docs/articles/aoh.html @@ -33,7 +33,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -83,7 +83,7 @@ -

Hanson JO (2024) aoh: Create Area of Habitat Data. R package version 0.0.2.11. Available at https://github.com/prioritizr/aoh.

+

Hanson JO (2024) aoh: Create Area of Habitat Data. R package version 0.0.2.12. Available at https://github.com/prioritizr/aoh.

@Manual{,
   author = {Jeffrey O Hanson},
   title = {aoh: Create Area of Habitat Data},
   year = {2024},
-  note = {R package version 0.0.2.11},
+  note = {R package version 0.0.2.12},
   url = {https://github.com/prioritizr/aoh},
 }

IUCN [insert year] IUCN Red List of Threatened Species. Version [insert version]. Available at www.iucnredlist.org.

@@ -90,13 +90,13 @@

Citation

note = {Version [insert version]}, url = {www.iucnredlist.org}, } -

BirdLife International and Handbook of the Birds of the World ([insert year]) Bird species distribution maps of the world. Version [insert version]. Available at http://datazone.birdlife.org/species/requestdis.

+

BirdLife International and Handbook of the Birds of the World ([insert year]) Bird species distribution maps of the world. Version [insert version]. Available at https://datazone.birdlife.org/species/requestdis.

@Manual{,
   author = {{BirdLife International} and {Handbook of the Birds of the World}},
   title = {Bird species distribution maps of the world},
   year = {[insert year]},
   note = {Version [insert version]},
-  url = {http://datazone.birdlife.org/species/requestdis},
+  url = {https://datazone.birdlife.org/species/requestdis},
 }

Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos V, Rondinini C, Visconti P (2020). “A global map of terrestrial habitat types.” diff --git a/docs/index.html b/docs/index.html index 7efcfc3e..28ef0423 100644 --- a/docs/index.html +++ b/docs/index.html @@ -46,7 +46,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -321,7 +321,7 @@

Citationrelevant data using: Hanson JO (2024) aoh: Create Area of Habitat Data. R package version - 0.0.2.11. Available at https://github.com/prioritizr/aoh. + 0.0.2.12. Available at https://github.com/prioritizr/aoh. IUCN [insert year] IUCN Red List of Threatened Species. Version [insert version]. Available at www.iucnredlist.org. @@ -329,7 +329,7 @@

Citation BirdLife International and Handbook of the Birds of the World ([insert year]) Bird species distribution maps of the world. Version [insert version]. Available at - http://datazone.birdlife.org/species/requestdis. + https://datazone.birdlife.org/species/requestdis. Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos V, Rondinini C, Visconti P (2020). "A global map of terrestrial diff --git a/docs/news/index.html b/docs/news/index.html index acecb9a0..70ceb60f 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -17,7 +17,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -60,6 +60,12 @@

Changelog

Source: NEWS.md +
+ +
  • Fix bug in create_spp_info_data() in assigning habitat types for resident distributions of migratory and non-migratory species. This bug meant that (i) habitat types for resident distributions of migratory species would include those exclusively affiliated with the species’ passage distributions and (ii) habitat types for resident distributions of non-migratory species would not include those exclusively affiliated with the species’ passage distributions. Thanks to Jianqiao Zhao for raising this issue.
  • +
  • Fix bug in create_spp_aoh_data() that caused errors when using the GDAL engine on macOS systems.
  • +
  • Fix URLs.
  • +
  • Fix bug in create_spp_info_data() so that the IUCN Red List API key can be specified using the key parameter.
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diff --git a/docs/reference/calc_spp_frc_data.html b/docs/reference/calc_spp_frc_data.html index 5582542f..f1264ad1 100644 --- a/docs/reference/calc_spp_frc_data.html +++ b/docs/reference/calc_spp_frc_data.html @@ -17,7 +17,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -237,22 +237,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [1.4s] +#> initializing [1.5s] #> #> cleaning species range data -#> cleaning species range data [2.1s] +#> cleaning species range data [1.9s] #> #> importing species summary data -#> importing species summary data [479ms] +#> importing species summary data [467ms] #> #> importing species habitat data -#> importing species habitat data [345ms] +#> importing species habitat data [337ms] #> #> collating species data -#> collating species data [217ms] +#> collating species data [159ms] #> #> post-processing results -#> post-processing results [16ms] +#> post-processing results [11ms] #> #> finished @@ -264,27 +264,27 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [10ms] +#> initializing [5ms] #> #> importing global elevation data -#> importing global elevation data [7.6s] +#> importing global elevation data [7.8s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.2s] +#> importing global habitat data [5s] #> #> generating Area of Habitat data -#> processing ■■■■■■■■■ [ 25% | ETA: 12s] +#> processing ■■■■■■■■■ [ 25% | ETA: 11s] #> processing ■■■■■■■■■■■■■■■■ [ 50% | ETA: 8s] -#> processing ■■■■■■■■■■■■■■■■■■■■■■■ [ 75% | ETA: 6s] -#> processing [28.8s] +#> processing ■■■■■■■■■■■■■■■■■■■■■■■ [ 75% | ETA: 5s] +#> processing [23.4s] #> #> generating Area of Habitat data -#> generating Area of Habitat data [28.9s] +#> generating Area of Habitat data [23.4s] #> #> post-processing results -#> post-processing results [15ms] +#> post-processing results [11ms] #> #> finished @@ -296,7 +296,7 @@

Examples

cache_dir = cache_dir ) #> importing global habitat data -#> importing global habitat data [6.5s] +#> importing global habitat data [5.5s] #> # } diff --git a/docs/reference/create_spp_aoh_data.html b/docs/reference/create_spp_aoh_data.html index 9451ad03..4f43bcc7 100644 --- a/docs/reference/create_spp_aoh_data.html +++ b/docs/reference/create_spp_aoh_data.html @@ -22,7 +22,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -408,22 +408,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [343ms] +#> initializing [333ms] #> #> cleaning species range data -#> cleaning species range data [3.7s] +#> cleaning species range data [3.3s] #> #> importing species summary data -#> importing species summary data [341ms] +#> importing species summary data [338ms] #> #> importing species habitat data -#> importing species habitat data [332ms] +#> importing species habitat data [329ms] #> #> collating species data -#> collating species data [248ms] +#> collating species data [220ms] #> #> post-processing results -#> post-processing results [15ms] +#> post-processing results [12ms] #> #> finished @@ -436,22 +436,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [7ms] +#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [8.6s] +#> importing global elevation data [7.5s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.6s] +#> importing global habitat data [4.9s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed -#> generating Area of Habitat data [35ms] +#> generating Area of Habitat data [33ms] #> #> post-processing results -#> post-processing results [12ms] +#> post-processing results [11ms] #> #> finished # } diff --git a/docs/reference/create_spp_frc_data.html b/docs/reference/create_spp_frc_data.html index 77e180e7..2937a291 100644 --- a/docs/reference/create_spp_frc_data.html +++ b/docs/reference/create_spp_frc_data.html @@ -26,7 +26,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -445,22 +445,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [333ms] +#> initializing [331ms] #> #> cleaning species range data -#> cleaning species range data [3.2s] +#> cleaning species range data [3.1s] #> #> importing species summary data -#> importing species summary data [338ms] +#> importing species summary data [341ms] #> #> importing species habitat data -#> importing species habitat data [325ms] +#> importing species habitat data [331ms] #> #> collating species data -#> collating species data [213ms] +#> collating species data [221ms] #> #> post-processing results -#> post-processing results [12ms] +#> post-processing results [13ms] #> #> finished @@ -476,19 +476,19 @@

Examples

#> initializing [5ms] #> #> importing global elevation data -#> importing global elevation data [8s] +#> importing global elevation data [7.9s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.5s] +#> importing global habitat data [5.2s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed -#> generating Area of Habitat data [38ms] +#> generating Area of Habitat data [32ms] #> #> post-processing results -#> post-processing results [36ms] +#> post-processing results [32ms] #> #> finished # } diff --git a/docs/reference/create_spp_info_data.html b/docs/reference/create_spp_info_data.html index 21c2cadb..58ffb35d 100644 --- a/docs/reference/create_spp_info_data.html +++ b/docs/reference/create_spp_info_data.html @@ -22,7 +22,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -482,19 +482,19 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [335ms] +#> initializing [334ms] #> #> cleaning species range data -#> cleaning species range data [3.2s] +#> cleaning species range data [3.1s] #> #> importing species summary data -#> importing species summary data [331ms] +#> importing species summary data [335ms] #> #> importing species habitat data -#> importing species habitat data [325ms] +#> importing species habitat data [333ms] #> #> collating species data -#> collating species data [213ms] +#> collating species data [219ms] #> #> post-processing results #> post-processing results [11ms] diff --git a/docs/reference/crosswalk_jung_lvl1_data.html b/docs/reference/crosswalk_jung_lvl1_data.html index 9a092e82..40dec7cb 100644 --- a/docs/reference/crosswalk_jung_lvl1_data.html +++ b/docs/reference/crosswalk_jung_lvl1_data.html @@ -28,7 +28,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/crosswalk_jung_lvl2_data.html b/docs/reference/crosswalk_jung_lvl2_data.html index ecd0439c..65c121fa 100644 --- a/docs/reference/crosswalk_jung_lvl2_data.html +++ b/docs/reference/crosswalk_jung_lvl2_data.html @@ -28,7 +28,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/crosswalk_jung_plvl1_data.html b/docs/reference/crosswalk_jung_plvl1_data.html index 6eabee19..8cd35a21 100644 --- a/docs/reference/crosswalk_jung_plvl1_data.html +++ b/docs/reference/crosswalk_jung_plvl1_data.html @@ -24,7 +24,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/crosswalk_lumb_cgls_data.html b/docs/reference/crosswalk_lumb_cgls_data.html index 8768b5b8..02ea9146 100644 --- a/docs/reference/crosswalk_lumb_cgls_data.html +++ b/docs/reference/crosswalk_lumb_cgls_data.html @@ -26,7 +26,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/figures/README-map-1.png b/docs/reference/figures/README-map-1.png index 199cea2b4160f103204f26f770892bd3115b182d..883fd8afb7a392a7de118cbc2379ff71fe0a279b 100644 GIT binary patch literal 336461 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b/docs/reference/get_jung_lvl2_habitat_data.html @@ -21,7 +21,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/get_jung_plvl1_habitat_data.html b/docs/reference/get_jung_plvl1_habitat_data.html index a86a8b3c..a8813712 100644 --- a/docs/reference/get_jung_plvl1_habitat_data.html +++ b/docs/reference/get_jung_plvl1_habitat_data.html @@ -20,7 +20,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/get_lumb_cgls_habitat_data.html b/docs/reference/get_lumb_cgls_habitat_data.html index 9b344bec..cb042959 100644 --- a/docs/reference/get_lumb_cgls_habitat_data.html +++ b/docs/reference/get_lumb_cgls_habitat_data.html @@ -23,7 +23,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/get_spp_habitat_data.html b/docs/reference/get_spp_habitat_data.html index 00802407..11e8d088 100644 --- a/docs/reference/get_spp_habitat_data.html +++ b/docs/reference/get_spp_habitat_data.html @@ -20,7 +20,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -200,8 +200,6 @@

Examples

# download and import habitat preference data result <- get_spp_habitat_data(spp_ids, download_dir) -#> querying ■■■■■■■■■■■■■■■■ 50% | ETA: 4s -#> querying ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 100% | ETA: 0s # } if (FALSE) { # interactive() diff --git a/docs/reference/get_spp_summary_data.html b/docs/reference/get_spp_summary_data.html index febc21ec..f20d6e19 100644 --- a/docs/reference/get_spp_summary_data.html +++ b/docs/reference/get_spp_summary_data.html @@ -21,7 +21,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -202,8 +202,6 @@

Examples

# download and import summary data result <- get_spp_summary_data(spp_ids, download_dir) -#> querying ■■■■■■■■■■■■■■■■ 50% | ETA: 2s -#> querying ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 100% | ETA: 0s # } if (FALSE) { # interactive() diff --git a/docs/reference/get_spp_threat_data.html b/docs/reference/get_spp_threat_data.html index 962d0c71..464e3fae 100644 --- a/docs/reference/get_spp_threat_data.html +++ b/docs/reference/get_spp_threat_data.html @@ -20,7 +20,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -204,8 +204,6 @@

Examples

# download and import threat data result <- get_spp_threat_data(spp_ids, download_dir) -#> querying ■■■■■■■■■■■■■■■■ 50% | ETA: 3s -#> querying ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 100% | ETA: 0s # } if (FALSE) { # interactive() diff --git a/docs/reference/index.html b/docs/reference/index.html index d0c69ffd..b1af4154 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -17,7 +17,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/is_gdal_calc_available.html b/docs/reference/is_gdal_calc_available.html index 073a2724..fad3965a 100644 --- a/docs/reference/is_gdal_calc_available.html +++ b/docs/reference/is_gdal_calc_available.html @@ -17,7 +17,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/is_grass_available.html b/docs/reference/is_grass_available.html index 2a8c503d..88fa4a3f 100644 --- a/docs/reference/is_grass_available.html +++ b/docs/reference/is_grass_available.html @@ -18,7 +18,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/is_iucn_rl_api_available.html b/docs/reference/is_iucn_rl_api_available.html index 26a8fbeb..9e26ba27 100644 --- a/docs/reference/is_iucn_rl_api_available.html +++ b/docs/reference/is_iucn_rl_api_available.html @@ -21,7 +21,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/is_osgeo4w_available.html b/docs/reference/is_osgeo4w_available.html index 89dd0004..17710df1 100644 --- a/docs/reference/is_osgeo4w_available.html +++ b/docs/reference/is_osgeo4w_available.html @@ -17,7 +17,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/iucn_habitat_codes_artificial.html b/docs/reference/iucn_habitat_codes_artificial.html index a3c0242e..d490719b 100644 --- a/docs/reference/iucn_habitat_codes_artificial.html +++ b/docs/reference/iucn_habitat_codes_artificial.html @@ -22,7 +22,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/iucn_habitat_codes_introduced.html b/docs/reference/iucn_habitat_codes_introduced.html index afab19bd..694310a0 100644 --- a/docs/reference/iucn_habitat_codes_introduced.html +++ b/docs/reference/iucn_habitat_codes_introduced.html @@ -22,7 +22,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/iucn_habitat_codes_marine.html b/docs/reference/iucn_habitat_codes_marine.html index bd3cd27b..c6a0bd71 100644 --- a/docs/reference/iucn_habitat_codes_marine.html +++ b/docs/reference/iucn_habitat_codes_marine.html @@ -21,7 +21,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/iucn_habitat_codes_misc.html b/docs/reference/iucn_habitat_codes_misc.html index 24cf68d7..eab579d0 100644 --- a/docs/reference/iucn_habitat_codes_misc.html +++ b/docs/reference/iucn_habitat_codes_misc.html @@ -22,7 +22,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/iucn_habitat_codes_terrestrial.html b/docs/reference/iucn_habitat_codes_terrestrial.html index 2fc131e5..9ba05e11 100644 --- a/docs/reference/iucn_habitat_codes_terrestrial.html +++ b/docs/reference/iucn_habitat_codes_terrestrial.html @@ -21,7 +21,7 @@ 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aoh - 0.0.2.11 + 0.0.2.12 @@ -165,22 +165,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [348ms] +#> initializing [573ms] #> #> cleaning species range data -#> cleaning species range data [3.2s] +#> cleaning species range data [3.3s] #> #> importing species summary data -#> importing species summary data [348ms] +#> importing species summary data [335ms] #> #> importing species habitat data -#> importing species habitat data [342ms] +#> importing species habitat data [332ms] #> #> collating species data -#> collating species data [216ms] +#> collating species data [214ms] #> #> post-processing results -#> post-processing results [13ms] +#> post-processing results [11ms] #> #> finished @@ -192,22 +192,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [5ms] +#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [7.9s] +#> importing global elevation data [7.5s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.4s] +#> importing global habitat data [5.3s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed #> generating Area of Habitat data [32ms] #> #> post-processing results -#> post-processing results [12ms] +#> post-processing results [11ms] #> #> finished diff --git a/docs/reference/plot_spp_frc_data-3.png b/docs/reference/plot_spp_frc_data-3.png index 818245ab4c96ceee6fe4ddedde945b0f19ea2eeb..e369dd636c2d925a86f9cbc41b81bebdb73c2778 100644 GIT binary patch literal 483487 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Examples

cache_dir = cache_dir ) #> initializing -#> initializing [352ms] +#> initializing [336ms] #> #> cleaning species range data -#> cleaning species range data [3.3s] +#> cleaning species range data [3.4s] #> #> importing species summary data -#> importing species summary data [345ms] +#> importing species summary data [333ms] #> #> importing species habitat data -#> importing species habitat data [341ms] +#> importing species habitat data [328ms] #> #> collating species data -#> collating species data [222ms] +#> collating species data [231ms] #> #> post-processing results #> post-processing results [11ms] @@ -195,19 +195,19 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [4ms] +#> initializing [5ms] #> #> importing global elevation data -#> importing global elevation data [6.7s] +#> importing global elevation data [6.9s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.4s] +#> importing global habitat data [5.5s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed -#> generating Area of Habitat data [34ms] +#> generating Area of Habitat data [32ms] #> #> post-processing results #> post-processing results [33ms] @@ -223,7 +223,7 @@

Examples

) #> importing global habitat data #> skipping 4 species distributions already processed -#> importing global habitat data [5.1s] +#> importing global habitat data [5.2s] #> # plot the data to visualize the range maps and fractional coverage data p <- plot_spp_frc_data(spp_frc_data) diff --git a/docs/reference/read_spp_range_data.html b/docs/reference/read_spp_range_data.html index aed43239..f45ff139 100644 --- a/docs/reference/read_spp_range_data.html +++ b/docs/reference/read_spp_range_data.html @@ -19,7 +19,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -97,7 +97,7 @@

Details

(see https://www.iucnredlist.org/resources/spatial-data-download). Data for birds can be obtained by requesting data from BirdLife International -(see http://datazone.birdlife.org/species/requestdis). +(see https://datazone.birdlife.org/species/requestdis). To standardize data from the IUCN Red List and BirdLife International, the "SISID" and "SISRecID" columns are renamed as "id_no".

diff --git a/docs/reference/simulate_spp_data.html b/docs/reference/simulate_spp_data.html index 0f246578..f2865e50 100644 --- a/docs/reference/simulate_spp_data.html +++ b/docs/reference/simulate_spp_data.html @@ -19,7 +19,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -250,10 +250,10 @@

Examples

n = 5, boundary_data = boundary_data, cache_dir = download_dir ) #> importing global elevation data -#> importing global elevation data [7s] +#> importing global elevation data [7.1s] #> #> importing global habitat data -#> importing global habitat data [1m 19.9s] +#> importing global habitat data [43.3s] #> # preview species range data diff --git a/docs/reference/st_repair_geometry.html b/docs/reference/st_repair_geometry.html index f57f21de..cd0c399b 100644 --- a/docs/reference/st_repair_geometry.html +++ b/docs/reference/st_repair_geometry.html @@ -17,7 +17,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/system_gdal_version.html b/docs/reference/system_gdal_version.html index 38325ea6..eeac6e74 100644 --- a/docs/reference/system_gdal_version.html +++ b/docs/reference/system_gdal_version.html @@ -18,7 +18,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/terra_combine.html b/docs/reference/terra_combine.html index c381a66a..01e33c09 100644 --- a/docs/reference/terra_combine.html +++ b/docs/reference/terra_combine.html @@ -18,7 +18,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/docs/reference/terra_gdal_calc.html b/docs/reference/terra_gdal_calc.html index 11f5c9f9..11ba24ea 100644 --- a/docs/reference/terra_gdal_calc.html +++ b/docs/reference/terra_gdal_calc.html @@ -18,7 +18,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -233,7 +233,7 @@

Examples

# run calculation y <- terra_gdal_calc(x, "(X < 20) * 1") -#> System command: gdal_calc.py -X "/tmp/Rtmpupbm5E/filea2df7beb9696.tif" --outfile="/tmp/Rtmpupbm5E/filea2df74ec6eebb.tif" --calc="(X < 20) * 1" --type="Float32" --co="NUM_THREADS=1" --co="COMPRESS=LZW" --co="PREDICTOR=1" +#> System command: gdal_calc.py -X "/tmp/Rtmpyk9VK4/file25df819f2b8dc.tif" --outfile="/tmp/Rtmpyk9VK4/file25df84f6556e2.tif" --calc="(X < 20) * 1" --type="Float32" --co="NUM_THREADS=1" --co="COMPRESS=LZW" --co="PREDICTOR=1" # preview result print(y) @@ -242,7 +242,7 @@

Examples

#> resolution : 0.5, 0.5 (x, y) #> extent : -110, -90, 40, 60 (xmin, xmax, ymin, ymax) #> coord. ref. : lon/lat WGS 84 (EPSG:4326) -#> source : filea2df74ec6eebb.tif +#> source : file25df84f6556e2.tif #> name : lyr.1 # }

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diff --git a/docs/reference/terra_gdal_crop.html b/docs/reference/terra_gdal_crop.html index 6245ee65..a54c57ab 100644 --- a/docs/reference/terra_gdal_crop.html +++ b/docs/reference/terra_gdal_crop.html @@ -18,7 +18,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -184,7 +184,7 @@

Examples

#> resolution : 0.5, 0.5 (x, y) #> extent : -105, -92.5, 41, 58.5 (xmin, xmax, ymin, ymax) #> coord. ref. : lon/lat WGS 84 (EPSG:4326) -#> source : filea2df71ebe0d42.tif +#> source : file25df869dd6245.tif #> name : lyr.1
diff --git a/docs/reference/terra_gdal_project.html b/docs/reference/terra_gdal_project.html index 3ac49372..e4716662 100644 --- a/docs/reference/terra_gdal_project.html +++ b/docs/reference/terra_gdal_project.html @@ -18,7 +18,7 @@ aoh - 0.0.2.11 + 0.0.2.12 @@ -194,7 +194,7 @@

Examples

#> resolution : 19999.99, 20000 (x, y) #> extent : -944881, 935118, 4664377, 7144377 (xmin, xmax, ymin, ymax) #> coord. ref. : +proj=lcc +lat_0=0 +lon_0=-100 +lat_1=48 +lat_2=33 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs -#> source : filea2df75122c075.tif +#> source : file25df8697ddd22.tif #> name : lyr.1 diff --git a/docs/reference/terra_gdal_rasterize.html b/docs/reference/terra_gdal_rasterize.html index 3eee33e1..ac895728 100644 --- a/docs/reference/terra_gdal_rasterize.html +++ b/docs/reference/terra_gdal_rasterize.html @@ -18,7 +18,7 @@ aoh - 0.0.2.11 + 0.0.2.12 diff --git a/inst/doc/aoh.html b/inst/doc/aoh.html index 0cc7ddc9..62353a07 100644 --- a/inst/doc/aoh.html +++ b/inst/doc/aoh.html @@ -11,7 +11,7 @@ - + Getting started @@ -169,7 +169,7 @@

Getting started

-

2024-07-02

+

2024-07-23

@@ -282,10 +282,10 @@

Tutorial

## # A tibble: 4 × 5 ## id_no binomial seasonal path geometry ## <dbl> <chr> <int> <chr> <POLYGON [m]> -## 1 979 Alytes dickhilleni 1 /tmp/RtmpPQgGc… ((-105506.8 4465112, -10… -## 2 59448 Calotriton asper 1 /tmp/RtmpPQgGc… ((-238681 5029057, -2377… -## 3 4657 Chioglossa lusitanica 1 /tmp/RtmpPQgGc… ((-859201.6 4559278, -85… -## 4 58622 Rana iberica 1 /tmp/RtmpPQgGc… ((-849801.9 4614149, -84… +## 1 979 Alytes dickhilleni 1 /tmp/Rtmp4jowx… ((-105506.8 4465112, -10… +## 2 59448 Calotriton asper 1 /tmp/Rtmp4jowx… ((-238681 5029057, -2377… +## 3 4657 Chioglossa lusitanica 1 /tmp/Rtmp4jowx… ((-859201.6 4559278, -85… +## 4 58622 Rana iberica 1 /tmp/Rtmp4jowx… ((-849801.9 4614149, -84…

After generating the Area of Habitat data, we can import them.

# import the Area of Habitat data
 ## since the data for each species have a different spatial extent
@@ -340,7 +340,7 @@ 

Tutorial

We can see that the Area of Habitat data for each species are stored in separate spatial (raster) datasets with different extents. Although this is useful because it drastically reduces the total size of the data for each species, it can make it difficult to work with data for multiple species. To address this, we can use the terra_combine() function to automatically align and combine the spatial data for all species’ distributions into a single spatial dataset.

# combine raster data
 spp_aoh_rasters <- terra_combine(spp_aoh_rasters)
-
## |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|================                                          
+
## |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|=====================                                          
# assign identifiers to layer names
 names(spp_aoh_rasters) <- paste0(
   "AOH_", spp_aoh_data$id_no, "_", spp_aoh_data$seasonal
@@ -353,10 +353,10 @@ 

Tutorial

## resolution : 100, 100 (x, y) ## extent : -914731, 318669, 4364377, 5066777 (xmin, xmax, ymin, ymax) ## coord. ref. : World_Behrmann -## sources : spat_a38264cf458c9_669734.tif -## spat_a38266214be7e_669734.tif -## spat_a38264b0e1cda_669734.tif -## spat_a3826574820cd_669734.tif +## sources : spat_2668b689624bd_157323.tif +## spat_2668b702b6cce_157323.tif +## spat_2668b1a6da19c_157323.tif +## spat_2668b52e3ef5_157323.tif ## varnames : 979_1 ## 59448_1 ## 4657_1 @@ -385,7 +385,7 @@

Tutorial

## |---------|---------|---------|---------|=========================================                                          
# display maps
 print(map)
-

+

Frequently asked questions

diff --git a/inst/doc/customization.Rmd b/inst/doc/customization.Rmd index feeb1068..ada22e5f 100644 --- a/inst/doc/customization.Rmd +++ b/inst/doc/customization.Rmd @@ -27,7 +27,7 @@ knitr::opts_chunk$set(fig.align = "center", eval = !is_check) ## Introduction -The _aoh R_ package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson _et al._ [-@r4] and habitat classification data derived from Lumbierres _et al._ [-@r9]. Its defaults also include using species' elevational limit and habitat preference data from the [International Union for Conservation of Nature (IUCN) Red List of Threatened Species](https://www.iucnredlist.org/). In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources [e.g., from @r5]. The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from [Copernicus Corine Land Cover](https://land.copernicus.eu/en/products/corine-land-cover) data or species' elevational limit data from the [BirdLife Data Zone](http://datazone.birdlife.org/home). +The _aoh R_ package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson _et al._ [-@r4] and habitat classification data derived from Lumbierres _et al._ [-@r9]. Its defaults also include using species' elevational limit and habitat preference data from the [International Union for Conservation of Nature (IUCN) Red List of Threatened Species](https://www.iucnredlist.org/). In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources [e.g., from @r5]. The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from [Copernicus Corine Land Cover](https://land.copernicus.eu/en/products/corine-land-cover) data or species' elevational limit data from the [BirdLife Data Zone](https://datazone.birdlife.org/home). ## Tutorial diff --git a/inst/doc/customization.html b/inst/doc/customization.html index 8d16f4fa..6c3475e3 100644 --- a/inst/doc/customization.html +++ b/inst/doc/customization.html @@ -11,7 +11,7 @@ - + Customization @@ -169,7 +169,7 @@

Customization

-

2024-07-02

+

2024-07-23

@@ -183,7 +183,7 @@

2024-07-02

Introduction

-

The aoh R package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson et al. (2014) and habitat classification data derived from Lumbierres et al. (2021). Its defaults also include using species’ elevational limit and habitat preference data from the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources (e.g., from Jung et al. 2020). The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from Copernicus Corine Land Cover data or species’ elevational limit data from the BirdLife Data Zone.

+

The aoh R package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson et al. (2014) and habitat classification data derived from Lumbierres et al. (2021). Its defaults also include using species’ elevational limit and habitat preference data from the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources (e.g., from Jung et al. 2020). The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from Copernicus Corine Land Cover data or species’ elevational limit data from the BirdLife Data Zone.

Tutorial

@@ -675,21 +675,21 @@

Tutorial

## 15 1.5|3.5|3.8|4.4|5.5|14.5 1.5|3.5|3.8|4.4|5.5|14.5 32 ## elevation_upper xmin xmax ymin ymax path ## * <dbl> <dbl> <dbl> <dbl> <dbl> <chr> -## 1 830 -896631 -61631 4373077 5070077 /tmp/RtmpPQgGcS/932_1.tif -## 2 999 -902631 -60631 4303077 5070077 /tmp/RtmpPQgGcS/3032_1.tif -## 3 874 -707631 320369 4305077 5058077 /tmp/RtmpPQgGcS/3046_1.tif -## 4 874 -734631 -504631 4658077 5011077 /tmp/RtmpPQgGcS/3046_3.tif -## 5 874 -916631 -708631 4520077 5015077 /tmp/RtmpPQgGcS/3046_4.tif -## 6 1050 -620631 320369 4304077 5058077 /tmp/RtmpPQgGcS/3255_1.tif -## 7 933 -916631 116369 4304077 5044077 /tmp/RtmpPQgGcS/4008_1.tif -## 8 942 -916631 266369 4303077 5070077 /tmp/RtmpPQgGcS/4785_1.tif -## 9 1058 -910631 65369 4574077 5070077 /tmp/RtmpPQgGcS/4973_1.tif -## 10 1018 -565631 -96631 4304077 4587077 /tmp/RtmpPQgGcS/5854_1.tif -## 11 1052 -752631 -66631 4374077 5058077 /tmp/RtmpPQgGcS/6068_1.tif -## 12 1017 -284631 239369 4373077 4967077 /tmp/RtmpPQgGcS/6678_1.tif -## 13 1017 -794631 -396631 4901077 5070077 /tmp/RtmpPQgGcS/6678_2.tif -## 14 1017 -617631 -393631 4304077 4447077 /tmp/RtmpPQgGcS/6678_3.tif -## 15 1017 -868631 -654631 4404077 4576077 /tmp/RtmpPQgGcS/6678_4.tif +## 1 830 -896631 -61631 4373077 5070077 /tmp/Rtmp4jowxs/932_1.tif +## 2 999 -902631 -60631 4303077 5070077 /tmp/Rtmp4jowxs/3032_1.tif +## 3 874 -707631 320369 4305077 5058077 /tmp/Rtmp4jowxs/3046_1.tif +## 4 874 -734631 -504631 4658077 5011077 /tmp/Rtmp4jowxs/3046_3.tif +## 5 874 -916631 -708631 4520077 5015077 /tmp/Rtmp4jowxs/3046_4.tif +## 6 1050 -620631 320369 4304077 5058077 /tmp/Rtmp4jowxs/3255_1.tif +## 7 933 -916631 116369 4304077 5044077 /tmp/Rtmp4jowxs/4008_1.tif +## 8 942 -916631 266369 4303077 5070077 /tmp/Rtmp4jowxs/4785_1.tif +## 9 1058 -910631 65369 4574077 5070077 /tmp/Rtmp4jowxs/4973_1.tif +## 10 1018 -565631 -96631 4304077 4587077 /tmp/Rtmp4jowxs/5854_1.tif +## 11 1052 -752631 -66631 4374077 5058077 /tmp/Rtmp4jowxs/6068_1.tif +## 12 1017 -284631 239369 4373077 4967077 /tmp/Rtmp4jowxs/6678_1.tif +## 13 1017 -794631 -396631 4901077 5070077 /tmp/Rtmp4jowxs/6678_2.tif +## 14 1017 -617631 -393631 4304077 4447077 /tmp/Rtmp4jowxs/6678_3.tif +## 15 1017 -868631 -654631 4404077 4576077 /tmp/Rtmp4jowxs/6678_4.tif ## geometry ## * <MULTIPOLYGON [m]> ## 1 (((-258785.9 4373975, -259388.9 4373961, -259722.7 4374219, -259763.3 437477… @@ -729,7 +729,7 @@

Tutorial

# display maps print(map)
-

+

Conclusion

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z_l=&E+txClkr@!xQGRH%oRM%`qrO*9uNli|kk@NP1v?hA#ZtMS@o4W@dOzNJuy$w; ztgq>vM4AnDkyw`Kmv-F2;Pid+e|-nd*;3B*$mBva!{47#AyT`ql>a&>)lDG&-Tx~Q z{J$i$|6l$v!`neE+>)q?KH2Jj%VqzMTS!`^V`b`@DV53?A|8*4fw}%2T_?(a1Gv1Z AU;qFB From de670d35d112d5c4138e816908d633eeeba147a2 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Tue, 23 Jul 2024 22:02:28 +1200 Subject: [PATCH 09/15] update tests --- NEWS.md | 6 +- inst/scripts/test-data.R | 21 +++-- inst/testdata/SIMULATED_SPECIES.zip | Bin 666549 -> 1335127 bytes inst/testdata/sim_boundary_data.gpkg | Bin 131072 -> 131072 bytes inst/testdata/sim_habitat_data.tif | Bin 329523 -> 330856 bytes inst/testdata/sim_spp_habitat_data.csv | 85 ++++++++++---------- inst/testdata/sim_spp_summary_data.csv | 20 ++--- tests/testthat/test_clean_spp_range_data.R | 2 +- tests/testthat/test_collate_spp_info_data.R | 84 ++++++++++++++++--- tests/testthat/test_read_spp_range_data.R | 2 +- 10 files changed, 148 insertions(+), 72 deletions(-) diff --git a/NEWS.md b/NEWS.md index a158c976..dd698a43 100644 --- a/NEWS.md +++ b/NEWS.md @@ -7,8 +7,10 @@ habitat types for resident distributions of non-migratory species would not include those exclusively affiliated with the species' passage distributions. Thanks to Jianqiao Zhao for raising this issue. -- Fix bug in `create_spp_aoh_data()` that caused errors when using the GDAL - engine on macOS systems. +- Update built-in testing data to include multiple migratory species. +- Update internal R script for creating test dataset + (i.e., `inst/scripts/test-data.R`) to be compatible with current version of + the package. - Fix URLs. # aoh 0.0.2.11 diff --git a/inst/scripts/test-data.R b/inst/scripts/test-data.R index 483a0d20..c8ece21c 100644 --- a/inst/scripts/test-data.R +++ b/inst/scripts/test-data.R @@ -2,7 +2,7 @@ ## define variables n_spp <- 10 country_names <- c("spain", "portugal") -habitat_version <- "10.5281/zenodo.4058819" +habitat_version <- "10.5281/zenodo.6622038" elevation_version <- "10.5281/zenodo.5719984" cache_dir <- rappdirs::user_data_dir("aoh") @@ -13,7 +13,7 @@ library(dplyr) library(terra) # set rng state -set.seed(501) +set.seed(502) # Preliminary processing ## install dependencies if needed @@ -89,8 +89,8 @@ sim_elevation_data <- terra::aggregate( ## identify codes to use for test data ## these are codes present in both the Jung and Lumbierres crosswalks include_codes <- intersect( - crosswalk_jung_data$code, - crosswalk_lumbierres_data$code + crosswalk_jung_lvl2_data$code, + crosswalk_lumb_cgls_data$code ) omit_codes <- setdiff(iucn_habitat_data$code, include_codes) omit_codes <- unique(c(omit_codes, iucn_habitat_codes_marine())) @@ -101,7 +101,7 @@ sim_data <- simulate_spp_data( boundary_data = sim_boundary_data, habitat_data = sim_habitat_data, elevation_data = sim_elevation_data, - crosswalk_data = crosswalk_jung_data, + crosswalk_data = crosswalk_jung_lvl2_data, omit_habitat_codes = omit_codes ) @@ -110,6 +110,17 @@ assertthat::assert_that( sum(sim_data$spp_range_data$seasonal == 2) > 0, msg = "simulated data does not contain any migratory species" ) +mig_ids <- unique( + sim_data$spp_range_data$id_no[sim_data$spp_range_data$seasonal == 2] +) +assertthat::assert_that( + any(mig_ids 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z19<&ttpNw`-1T8o%fjenPt6;ZC1q_}+K^oTU`*I{ptUU-XYAkRCQI?dqD7*o-pgaR z7}f$b2>#=c;p+$88glIEZk+8xvG{?b>AV{vZtVX2k?fPXAL@?ATg%iXNu34duVzj2 z6Bc^uk{VpRnKy;*fggEB5M@m(C|CT((6UryIJRQ=?eDj~%RNAmwGeibV~QTdpQvGN z5)K-PV(*+*A+3#nPM4_Fd#!G=y(n(lB^3EgRzi{^R#e%pm)lRtV^iH>nUHvHgMxyJ z!0A2O;9cW0PNYBKB^mQMf&7*Ax3QR`C*@0d6l7`2SB^H zyrz5tnhy10H{Mtihro7aBX>JD^9ktd{Zt3h(c~EAi<;`#p-*rsOZYve(#uaxhK`_9 z6P1#OJ@yu7)7|nJl8*=Nftdt9XG>&>C)xi;^~q58jx^yY%1a3mL+V;pn}ZU(Ug%=e zfbr4mdEfXI+@sIzejbU7X%*T?nQsS5qj{lh468a!V%nD`#a}YtQWNEpFr8eaM$+owZjoh|I`>LmCMCesi$okSGr4uU@^oH6_nM!Byeu3-hgti=V-ET&%$tVDh0~ zXeMI|Nyf8$iNK)$1VMV-jURt>IcYWsCkg*ooBNXnEn=}hv-ejA(oIY+eL)BaVZRHJ z^U}ZRi&lQQlwjnVy(F}x9yeQa`qJwwAq6)*qt6*V8y!~Zc!6Bu`*QN*2*jnp4k`eS z2RUeU)RWe@30MqTEzQ!^v*yEKh0{jiSovg_?xNdjI#K`klcQhlSkCwrdtUJHOKOYU zpA4;IR$=1*rNnbHlO-AAM%D$j_)&FRh4hgJ>v)s!Ud6tTRnm_;Kh}$1?~1;f8L-bP zN*3c_1E$CKgpmC4<8R~>Z%cXN;k-fQneNR{Ln8jgJQg*|{VsXGw&;^8|EtOT<&0i5 zDVvo^EG)BEmr|fkCn+5C?ZSCW1%L)3}AXBZbK1|Z4riB1#+^a zPKJ7V{JkX&hBLjPIuuX2gC#T4FjvQDJ(ZPkZV^kd4t}w|Qb?#X!ojGS4K#htXutbUTCUvBTRV_`CB zh01U6WK}8~7d5pbT;!mhJ{7^}#?)7u_h81YV!M2?dl`JotomYmRsNCS zU#e=H1X!`|?U|<+nk(_onAQaSFGt>!|LpPHoy^ w2Xvp&fwFi``CG&T*^?dbuJQWLM1Zyc)3UpLpE6f?=3j~rSlz^9ADln`|A-i}1poj5 diff --git a/inst/testdata/sim_spp_habitat_data.csv b/inst/testdata/sim_spp_habitat_data.csv index 251231bf..cddabe6d 100644 --- a/inst/testdata/sim_spp_habitat_data.csv +++ b/inst/testdata/sim_spp_habitat_data.csv @@ -1,44 +1,43 @@ "id_no","code","habitat","suitability","season","majorimportance" -932,"1.4","Forest - Temperate","Suitable","Resident",NA -932,"2.1","Savanna - Dry","Suitable","Resident",NA -932,"14.2","Pastureland","Suitable","Resident",NA -3032,"1.4","Forest - Temperate","Suitable","Resident",NA -3032,"4","Grassland","Suitable","Resident",NA -3032,"14.5","Urban Areas","Suitable","Resident",NA -3046,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA -3046,"5","Wetlands (inland)","Suitable","Resident",NA -3046,"2.1","Savanna - Dry","Suitable","Resident",NA -3046,"3.5","Shrubland - Subtropical/tropical dry","Suitable","Non-breeding Season",NA -3046,"1.4","Forest - Temperate","Suitable","Non-breeding Season",NA -3046,"14.2","Pastureland","Suitable","Non-breeding Season",NA -3046,"14.1","Arable Land","Suitable","Passage",NA -3046,"5.5","Wetlands (inland) - Permanent freshwater lakes (over 8 ha)","Suitable","Passage",NA -3046,"5","Wetlands (inland)","Suitable","Passage",NA -3255,"4.4","Grassland - Temperate","Suitable","Resident",NA -3255,"5.5","Wetlands (inland) - Permanent freshwater lakes (over 8 ha)","Suitable","Resident",NA -3255,"2.1","Savanna - Dry","Suitable","Resident",NA -4008,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA -4008,"4.5","Grassland - Subtropical/tropical dry","Suitable","Resident",NA -4008,"6","Rocky Areas (e.g., inland cliffs, mountain peaks)","Suitable","Resident",NA -4785,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA -4785,"5","Wetlands (inland)","Suitable","Resident",NA -4973,"3.4","Shrubland - Temperate","Suitable","Resident",NA -4973,"1.4","Forest - Temperate","Suitable","Resident",NA -4973,"14.2","Pastureland","Suitable","Resident",NA -5854,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA -5854,"2.1","Savanna - Dry","Suitable","Resident",NA -5854,"5","Wetlands (inland)","Suitable","Resident",NA -6068,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA -6068,"6","Rocky Areas (e.g., inland cliffs, mountain peaks)","Suitable","Resident",NA -6068,"4","Grassland","Suitable","Resident",NA -6678,"4.4","Grassland - Temperate","Suitable","Resident",NA -6678,"1.5","Forest - Subtropical/tropical dry","Suitable","Resident",NA -6678,"3.5","Shrubland - Subtropical/tropical dry","Suitable","Resident",NA -6678,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Breeding Season",NA -6678,"3.5","Shrubland - Subtropical/tropical dry","Suitable","Breeding Season",NA -6678,"14.2","Pastureland","Suitable","Breeding Season",NA -6678,"14.5","Urban Areas","Suitable","Non-breeding Season",NA -6678,"5","Wetlands (inland)","Suitable","Non-breeding Season",NA -6678,"14.5","Urban Areas","Suitable","Passage",NA -6678,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Passage",NA -6678,"5.5","Wetlands (inland) - Permanent freshwater lakes (over 8 ha)","Suitable","Passage",NA +670,"14.5","Urban Areas","Suitable","Breeding Season",NA +670,"14.2","Pastureland","Suitable","Breeding Season",NA +670,"4.4","Grassland - Temperate","Suitable","Non-breeding Season",NA +670,"3.5","Shrubland - Subtropical/tropical dry","Suitable","Non-breeding Season",NA +670,"6","Rocky Areas (e.g., inland cliffs, mountain peaks)","Suitable","Non-breeding Season",NA +670,"1.5","Forest - Subtropical/tropical dry","Suitable","Passage",NA +670,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Passage",NA +670,"3.4","Shrubland - Temperate","Suitable","Passage",NA +2072,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA +2072,"1.4","Forest - Temperate","Suitable","Resident",NA +2072,"2.1","Savanna - Dry","Suitable","Resident",NA +2374,"4.4","Grassland - Temperate","Suitable","Resident",NA +2374,"2.1","Savanna - Dry","Suitable","Resident",NA +2374,"14.5","Urban Areas","Suitable","Resident",NA +3667,"1.4","Forest - Temperate","Suitable","Resident",NA +3667,"3.5","Shrubland - Subtropical/tropical dry","Suitable","Resident",NA +3667,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA +4421,"3.5","Shrubland - Subtropical/tropical dry","Suitable","Resident",NA +4421,"4.4","Grassland - Temperate","Suitable","Resident",NA +4650,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA +4650,"4.4","Grassland - Temperate","Suitable","Resident",NA +4650,"14.5","Urban Areas","Suitable","Resident",NA +5808,"14.5","Urban Areas","Suitable","Resident",NA +5808,"14.1","Arable Land","Suitable","Resident",NA +5808,"14.2","Pastureland","Suitable","Resident",NA +5808,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Breeding Season",NA +5808,"4.1","Grassland - Tundra","Suitable","Breeding Season",NA +5808,"2.1","Savanna - Dry","Suitable","Breeding Season",NA +5808,"14.1","Arable Land","Suitable","Non-breeding Season",NA +5808,"5.5","Wetlands (inland) - Permanent freshwater lakes (over 8 ha)","Suitable","Non-breeding Season",NA +5808,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Passage",NA +5808,"5.5","Wetlands (inland) - Permanent freshwater lakes (over 8 ha)","Suitable","Passage",NA +5808,"4","Grassland","Suitable","Passage",NA +6701,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA +6701,"5.5","Wetlands (inland) - Permanent freshwater lakes (over 8 ha)","Suitable","Resident",NA +6701,"4.1","Grassland - Tundra","Suitable","Resident",NA +8110,"3.8","Shrubland - Mediterranean-type shrubby vegetation","Suitable","Resident",NA +8110,"1.4","Forest - Temperate","Suitable","Resident",NA +8110,"14.5","Urban Areas","Suitable","Resident",NA +8644,"3.4","Shrubland - Temperate","Suitable","Resident",NA +8644,"14.5","Urban Areas","Suitable","Resident",NA +8644,"5","Wetlands (inland)","Suitable","Resident",NA diff --git a/inst/testdata/sim_spp_summary_data.csv b/inst/testdata/sim_spp_summary_data.csv index b403b9c1..de892a91 100644 --- a/inst/testdata/sim_spp_summary_data.csv +++ b/inst/testdata/sim_spp_summary_data.csv @@ -1,11 +1,11 @@ "id_no","taxonid","scientific_name","kingdom","phylum","class","order","family","genus","main_common_name","authority","published_year","assessment_date","category","criteria","population_trend","marine_system","freshwater_system","terrestrial_system","assessor","reviewer","aoo_km2","eoo_km2","elevation_upper","elevation_lower","depth_upper","depth_lower","errata_flag","errata_reason","amended_flag","amended_reason" -932,932,"Simulus spp. 932",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"NT",NA,NA,"false","false","true",NA,NA,NA,NA,830,76,NA,NA,NA,NA,NA,NA -3032,3032,"Simulus spp. 3032",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,999,36,NA,NA,NA,NA,NA,NA -3046,3046,"Simulus spp. 3046",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,874,23,NA,NA,NA,NA,NA,NA -3255,3255,"Simulus spp. 3255",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"VU",NA,NA,"false","false","true",NA,NA,NA,NA,1050,90,NA,NA,NA,NA,NA,NA -4008,4008,"Simulus spp. 4008",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,933,38,NA,NA,NA,NA,NA,NA -4785,4785,"Simulus spp. 4785",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,942,45,NA,NA,NA,NA,NA,NA -4973,4973,"Simulus spp. 4973",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,1058,43,NA,NA,NA,NA,NA,NA -5854,5854,"Simulus spp. 5854",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,1018,45,NA,NA,NA,NA,NA,NA -6068,6068,"Simulus spp. 6068",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"NT",NA,NA,"false","false","true",NA,NA,NA,NA,1052,335,NA,NA,NA,NA,NA,NA -6678,6678,"Simulus spp. 6678",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,1017,32,NA,NA,NA,NA,NA,NA +670,670,"Simulus spp. 670",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"LC",NA,NA,"false","false","true",NA,NA,NA,NA,942,82,NA,NA,NA,NA,NA,NA +2072,2072,"Simulus spp. 2072",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"NT",NA,NA,"false","false","true",NA,NA,NA,NA,907,46,NA,NA,NA,NA,NA,NA +2374,2374,"Simulus spp. 2374",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"VU",NA,NA,"false","false","true",NA,NA,NA,NA,1020,65,NA,NA,NA,NA,NA,NA +3667,3667,"Simulus spp. 3667",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,598,15,NA,NA,NA,NA,NA,NA +4421,4421,"Simulus spp. 4421",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"VU",NA,NA,"false","false","true",NA,NA,NA,NA,949,85,NA,NA,NA,NA,NA,NA +4650,4650,"Simulus spp. 4650",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"NT",NA,NA,"false","false","true",NA,NA,NA,NA,951,54,NA,NA,NA,NA,NA,NA +5808,5808,"Simulus spp. 5808",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"VU",NA,NA,"false","false","true",NA,NA,NA,NA,974,91,NA,NA,NA,NA,NA,NA +6701,6701,"Simulus spp. 6701",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"EN",NA,NA,"false","false","true",NA,NA,NA,NA,1069,221,NA,NA,NA,NA,NA,NA +8110,8110,"Simulus spp. 8110",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"VU",NA,NA,"false","false","true",NA,NA,NA,NA,991,75,NA,NA,NA,NA,NA,NA +8644,8644,"Simulus spp. 8644",NA,NA,NA,NA,NA,"Simulus",NA,NA,NA,NA,"LC",NA,NA,"false","false","true",NA,NA,NA,NA,1183,182,NA,NA,NA,NA,NA,NA diff --git a/tests/testthat/test_clean_spp_range_data.R b/tests/testthat/test_clean_spp_range_data.R index 97326483..049cac37 100644 --- a/tests/testthat/test_clean_spp_range_data.R +++ b/tests/testthat/test_clean_spp_range_data.R @@ -76,7 +76,7 @@ test_that("custom presence, origin, and seasonal codes", { f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") presence <- c(1, 3) origin <- c(1, 5) - season <- c(1, 5) + season <- c(1, 2, 5) # create object d <- read_spp_range_data(f) x <- clean_spp_range_data( diff --git a/tests/testthat/test_collate_spp_info_data.R b/tests/testthat/test_collate_spp_info_data.R index 6b9b8794..5564ef9d 100644 --- a/tests/testthat/test_collate_spp_info_data.R +++ b/tests/testthat/test_collate_spp_info_data.R @@ -237,6 +237,28 @@ test_that("habitat codes (adjust_habitat_codes = TRUE)", { d3 <- utils::read.table( f3, header = TRUE, sep = ",", stringsAsFactors = FALSE ) + # add in additional classes for passage distributions for some species, + # this is to mimic cases where passage habitat data are available for + # migratory and non-migratory species and we want to make sure they + # are handled correctly + ## sample species to add extra habitat class + mig_ids <- unique(d3$id_no[d3$season == "Breeding Season"]) + non_mig_ids <- setdiff(unique(d3$id_no), mig_ids) + ids <- c(sample(mig_ids, size = 2), sample(non_mig_ids, size = 2)) + ## create additional habitat data + ## we will deliberately use aquatic habitat so we can make sure that + ## the passage habitat information is treated correctly + new_data <- d3 + new_data <- + dplyr::filter(new_data, id_no %in% ids) + new_data <- dplyr::group_by(new_data, id_no) + new_data <- dplyr::filter(new_data , seq_along(id_no) == 1) + new_data <- dplyr::ungroup(new_data) + new_data$code <- 15.4 + new_data$habitat <- "Salt Exploitation Sites" + new_data$season <- "Passage" + ## merge extra data + d3 <- dplyr::bind_rows(d3, new_data) # create object x <- collate_spp_info_data( x = cd1, @@ -246,14 +268,16 @@ test_that("habitat codes (adjust_habitat_codes = TRUE)", { verbose = interactive() ) # tests - ids <- unique(d1$id_no) - for (i in seq_along(ids)) { - s <- dplyr::filter(cd1, id_no == ids[i]) - h <- dplyr::filter(d3, id_no == ids[i]) + ## verify that habitat classes are correct for each seasonal distribution + ## for each species + all_ids <- unique(d1$id_no) + for (i in seq_along(all_ids)) { + s <- dplyr::filter(cd1, id_no == all_ids[i]) + h <- dplyr::filter(d3, id_no == all_ids[i]) m <- any(c(2L, 3L, 4L) %in% s$seasonal) h$seasonal <- convert_to_seasonal_id(h$season) for (j in unique(s$seasonal)) { - w <- dplyr::filter(x, id_no == ids[i], seasonal == j) + w <- dplyr::filter(x, id_no == all_ids[i], seasonal == j) if ((j == 1) && !isTRUE(m)) { h_ids <- h$code[(h$seasonal %in% seq_len(5)) | is.na(h$seasonal)] } else if ((j == 1) && isTRUE(m)) { @@ -271,6 +295,26 @@ test_that("habitat codes (adjust_habitat_codes = TRUE)", { expect_equal(w$full_habitat_code, h_code) } } + ## double check that passage habitat classes are NOT included for resident + ## distributions of migratory species + updated_mig_ids <- mig_ids[mig_ids %in% ids] + for (i in seq_along(updated_mig_ids)) { + w <- dplyr::filter(x, id_no == updated_mig_ids[i], seasonal == 1) + if (nrow(w) > 0) { + h_ids <- as.numeric(strsplit(w$full_habitat_code, "|", fixed = TRUE)[[1]]) + expect_false(15.4 %in% h_ids) + } + } + ## double check that passage habitat classes are included for resident + ## distributions of non-migratory species + updated_non_mig_ids <- non_mig_ids[non_mig_ids %in% ids] + for (i in seq_along(updated_non_mig_ids)) { + w <- dplyr::filter(x, id_no == updated_non_mig_ids[i], seasonal == 1) + if (nrow(w) > 0) { + h_ids <- as.numeric(strsplit(w$full_habitat_code, "|", fixed = TRUE)[[1]]) + expect_true(15.4 %in% h_ids) + } + } }) test_that("habitat codes (adjust_habitat_codes = FALSE)", { @@ -289,6 +333,26 @@ test_that("habitat codes (adjust_habitat_codes = FALSE)", { d3 <- utils::read.table( f3, header = TRUE, sep = ",", stringsAsFactors = FALSE ) + # add in additional classes for passage distributions for some species, + # this is to mimic cases where passage habitat data are available for + # migratory and non-migratory species and we want to make sure they + # are handled correctly + ## sample species to add extra habitat class + mig_ids <- unique(d3$id_no[d3$season == "Breeding Season"]) + non_mig_ids <- setdiff(unique(d3$id_no), mig_ids) + ids <- c(sample(mig_ids, size = 2), sample(non_mig_ids, size = 2)) + ## create additional habitat data + ## we will deliberately use aquatic habitat so we can make sure that + ## the passage habitat information is treated correctly + new_data <- d3 + new_data <- + dplyr::filter(new_data, id_no %in% ids) + new_data <- dplyr::group_by(new_data, id_no) + new_data <- dplyr::filter(new_data , seq_along(id_no) == 1) + new_data <- dplyr::ungroup(new_data) + new_data$code <- 15.4 + new_data$habitat <- "Salt Exploitation Sites" + new_data$season <- "Passage" # create object x <- collate_spp_info_data( x = cd1, @@ -298,13 +362,13 @@ test_that("habitat codes (adjust_habitat_codes = FALSE)", { verbose = interactive() ) # tests - ids <- unique(d1$id_no) - for (i in seq_along(ids)) { - s <- dplyr::filter(cd1, id_no == ids[i]) - h <- dplyr::filter(d3, id_no == ids[i]) + all_ids <- unique(d1$id_no) + for (i in seq_along(all_ids)) { + s <- dplyr::filter(cd1, id_no == all_ids[i]) + h <- dplyr::filter(d3, id_no == all_ids[i]) h$seasonal <- convert_to_seasonal_id(h$season) for (j in unique(s$seasonal)) { - w <- dplyr::filter(x, id_no == ids[i], seasonal == j) + w <- dplyr::filter(x, id_no == all_ids[i], seasonal == j) if (j == 1) { h_ids <- h$code[h$seasonal %in% 1L] } else if (j == 2) { diff --git a/tests/testthat/test_read_spp_range_data.R b/tests/testthat/test_read_spp_range_data.R index 6634cc55..47863157 100644 --- a/tests/testthat/test_read_spp_range_data.R +++ b/tests/testthat/test_read_spp_range_data.R @@ -28,7 +28,7 @@ test_that("simulated data (shapefile zip format, multiple files)", { td2 <- tempfile() dir.create(td2, showWarnings = FALSE, recursive = TRUE) n <- nrow(o) - m <- median(seq_len(n)) + m <- as.integer(floor(median(seq_len(n)))) sf::write_sf( o[seq(1, m - 1), , drop = FALSE], paste0(td2, "/SIMULATED_SPECIES1.shp") From 4df36ebd6a44463b3a72b27f836b78c6770a76fa Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Wed, 24 Jul 2024 07:56:34 +1200 Subject: [PATCH 10/15] update is_gdal_calc_available() to work with mac ci --- NEWS.md | 1 + R/is_available.R | 16 +++++++++++++--- tests/testthat/test_create_spp_aoh_data.R | 2 -- tests/testthat/test_create_spp_frc_data.R | 1 - tests/testthat/test_terra_gdal_calc.R | 4 ---- 5 files changed, 14 insertions(+), 10 deletions(-) diff --git a/NEWS.md b/NEWS.md index dd698a43..6ebd6c00 100644 --- a/NEWS.md +++ b/NEWS.md @@ -11,6 +11,7 @@ - Update internal R script for creating test dataset (i.e., `inst/scripts/test-data.R`) to be compatible with current version of the package. +- Update `is_gdal_calc_available()` to be more robust. - Fix URLs. # aoh 0.0.2.11 diff --git a/R/is_available.R b/R/is_available.R index 921621da..61efb2af 100644 --- a/R/is_available.R +++ b/R/is_available.R @@ -138,11 +138,21 @@ is_gdal_calc_available <- function() { return(FALSE) } } - v <- try( - system(python_gdal_calc("--help"), intern = TRUE), - silent = TRUE + v <- suppressWarnings( + try( + system(python_gdal_calc("--help"), intern = TRUE), + silent = TRUE + ) ) + # return FALSE if system command executed with error if (inherits(v, "try-error")) return(FALSE) + # return FALSE if system command executed with non-zero status + if (!is.null(attr(v, "status"))) { + if (!identical(attr(v, "status"), 0L)) { + return(FALSE) + } + } + # otherwise, return TRUE TRUE } diff --git a/tests/testthat/test_create_spp_aoh_data.R b/tests/testthat/test_create_spp_aoh_data.R index 3648565a..6e4dcb88 100644 --- a/tests/testthat/test_create_spp_aoh_data.R +++ b/tests/testthat/test_create_spp_aoh_data.R @@ -87,7 +87,6 @@ test_that("simulated data (GDAL engine)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() - skip_on_os("mac") # specify file path f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") elevation_data <- terra::rast( @@ -550,7 +549,6 @@ test_that("small range data (rasterize_touches, engine = gdal)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() - skip_on_os("mac") # specify file path f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") elevation_data <- terra::rast( diff --git a/tests/testthat/test_create_spp_frc_data.R b/tests/testthat/test_create_spp_frc_data.R index 871ed798..358050b6 100644 --- a/tests/testthat/test_create_spp_frc_data.R +++ b/tests/testthat/test_create_spp_frc_data.R @@ -67,7 +67,6 @@ test_that("different engines produce same result", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() - skip_on_os("mac") # specify file path f <- system.file("testdata", "SIMULATED_SPECIES.zip", package = "aoh") elevation_data <- terra::rast( diff --git a/tests/testthat/test_terra_gdal_calc.R b/tests/testthat/test_terra_gdal_calc.R index 4d6ed5de..45ea08f7 100644 --- a/tests/testthat/test_terra_gdal_calc.R +++ b/tests/testthat/test_terra_gdal_calc.R @@ -4,7 +4,6 @@ test_that("single layer (in memory)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() - skip_on_os("mac") # create data x <- terra::rast( ncols = 40, nrows = 40, xmin = -110, xmax = -90, ymin = 40, ymax = 60, @@ -24,7 +23,6 @@ test_that("two layers", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() - skip_on_os("mac") # create data x <- terra::rast( ncols = 40, nrows = 40, xmin = -110, xmax = -90, ymin = 40, ymax = 60, @@ -45,7 +43,6 @@ test_that("three layers (in memory)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() - skip_on_os("mac") # create data x <- terra::rast( ncols = 40, nrows = 40, xmin = -110, xmax = -90, ymin = 40, ymax = 60, @@ -69,7 +66,6 @@ test_that("three layers (on disk)", { skip_on_cran() skip_if_not_installed("gdalUtilities") skip_if_gdal_calc_not_available() - skip_on_os("mac") # create paths f1 <- tempfile(fileext = ".tif") f2 <- tempfile(fileext = ".tif") From 83bda2ebe4a80afbb18f63d95a6d85fe500eb4d4 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Wed, 24 Jul 2024 07:56:40 +1200 Subject: [PATCH 11/15] update docs --- README.md | 4 + docs/articles/aoh.html | 16 +- docs/articles/customization.html | 363 +++++++++-------- .../figure-html/unnamed-chunk-15-1.png | Bin 1186898 -> 993538 bytes .../figure-html/unnamed-chunk-3-1.png | Bin 184496 -> 199109 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 142030 -> 141600 bytes docs/index.html | 91 ++--- docs/news/index.html | 3 +- docs/pkgdown.yml | 2 +- docs/reference/calc_spp_frc_data.html | 22 +- docs/reference/create_spp_aoh_data.html | 14 +- docs/reference/create_spp_frc_data.html | 14 +- docs/reference/create_spp_info_data.html | 12 +- docs/reference/plot_spp_aoh_data.html | 14 +- docs/reference/plot_spp_frc_data.html | 18 +- docs/reference/simulate_spp_data.html | 4 +- docs/reference/terra_gdal_calc.html | 4 +- docs/reference/terra_gdal_crop.html | 2 +- docs/reference/terra_gdal_project.html | 2 +- inst/doc/aoh.html | 18 +- inst/doc/customization.html | 367 +++++++++--------- 21 files changed, 487 insertions(+), 483 deletions(-) diff --git a/README.md b/README.md index 41ac4f19..9fe389b6 100644 --- a/README.md +++ b/README.md @@ -349,7 +349,11 @@ map <- strip.text = element_text(color = "white"), strip.background = element_rect(fill = "black", color = "black") ) +``` + + ## |---------|---------|---------|---------|========================================= +``` r # display maps print(map) ``` diff --git a/docs/articles/aoh.html b/docs/articles/aoh.html index d76ca25b..f61d28d2 100644 --- a/docs/articles/aoh.html +++ b/docs/articles/aoh.html @@ -199,10 +199,10 @@

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Tutorial## # A tibble: 4 × 5 ## id_no binomial seasonal path geometry ## <dbl> <chr> <int> <chr> <POLYGON [m]> -## 1 979 Alytes dickhilleni 1 /tmp/RtmpKBqCe… ((-105506.8 4465112, -10… -## 2 59448 Calotriton asper 1 /tmp/RtmpKBqCe… ((-238681 5029057, -2377… -## 3 4657 Chioglossa lusitanica 1 /tmp/RtmpKBqCe… ((-859201.6 4559278, -85… -## 4 58622 Rana iberica 1 /tmp/RtmpKBqCe… ((-849801.9 4614149, -84… +## 1 979 Alytes dickhilleni 1 /tmp/Rtmp0RZGK… ((-105506.8 4465112, -10… +## 2 59448 Calotriton asper 1 /tmp/Rtmp0RZGK… ((-238681 5029057, -2377… +## 3 4657 Chioglossa lusitanica 1 /tmp/Rtmp0RZGK… ((-859201.6 4559278, -85… +## 4 58622 Rana iberica 1 /tmp/Rtmp0RZGK… ((-849801.9 4614149, -84…

After generating the Area of Habitat data, we can import them.

-
## Simple feature collection with 31 features and 26 fields
+
## Simple feature collection with 34 features and 26 fields
 ## Geometry type: MULTIPOLYGON
 ## Dimension:     XY
-## Bounding box:  xmin: -9.497 ymin: 36.006 xmax: 3.318 ymax: 43.793
+## Bounding box:  xmin: -9.497 ymin: 36.01108 xmax: 3.318 ymax: 43.793
 ## Geodetic CRS:  WGS 84
-## # A tibble: 31 × 27
+## # A tibble: 34 × 27
 ##    id_no seasonal presence origin binomial          compiler yrcompiled citation
 ##    <int>    <dbl>    <dbl>  <dbl> <chr>             <chr>         <dbl> <chr>   
-##  1   932        1        1      1 Simulus spp. 932  Simulat…         NA NA      
-##  2   932        1        6      6 Simulus spp. 932  Simulat…         NA NA      
-##  3   932        1        3      3 Simulus spp. 932  Simulat…         NA NA      
-##  4   932        1        3      2 Simulus spp. 932  Simulat…         NA NA      
-##  5  3032        1        1      1 Simulus spp. 3032 Simulat…         NA NA      
-##  6  3032        1        1      2 Simulus spp. 3032 Simulat…         NA NA      
-##  7  3032        1        3      6 Simulus spp. 3032 Simulat…         NA NA      
-##  8  3046        1        1      1 Simulus spp. 3046 Simulat…         NA NA      
-##  9  3046        3        1      1 Simulus spp. 3046 Simulat…         NA NA      
-## 10  3046        4        1      1 Simulus spp. 3046 Simulat…         NA NA      
-## # ℹ 21 more rows
+##  1   670        2        1      1 Simulus spp. 670  Simulat…         NA NA      
+##  2   670        3        1      1 Simulus spp. 670  Simulat…         NA NA      
+##  3   670        4        1      1 Simulus spp. 670  Simulat…         NA NA      
+##  4  2072        1        1      1 Simulus spp. 2072 Simulat…         NA NA      
+##  5  2072        1        4      4 Simulus spp. 2072 Simulat…         NA NA      
+##  6  2072        1        3      3 Simulus spp. 2072 Simulat…         NA NA      
+##  7  2072        1        3      5 Simulus spp. 2072 Simulat…         NA NA      
+##  8  2374        1        1      1 Simulus spp. 2374 Simulat…         NA NA      
+##  9  2374        1        4      2 Simulus spp. 2374 Simulat…         NA NA      
+## 10  2374        1        5      2 Simulus spp. 2374 Simulat…         NA NA      
+## # ℹ 24 more rows
 ## # ℹ 19 more variables: subspecies <chr>, subpop <chr>, source <chr>,
 ## #   island <chr>, tax_comm <chr>, dist_comm <chr>, generalisd <int>,
 ## #   legend <chr>, kingdom <chr>, phylum <chr>, class <chr>, order_ <chr>,
@@ -167,52 +167,51 @@ 

Tutorial # preview data print(spp_habitat_data, n = Inf)

-
## # A tibble: 43 × 6
+
## # A tibble: 42 × 6
 ##    id_no  code habitat                        suitability season majorimportance
 ##    <int> <dbl> <chr>                          <chr>       <chr>  <lgl>          
-##  1   932   1.4 Forest - Temperate             Suitable    Resid… NA             
-##  2   932   2.1 Savanna - Dry                  Suitable    Resid… NA             
-##  3   932  14.2 Pastureland                    Suitable    Resid… NA             
-##  4  3032   1.4 Forest - Temperate             Suitable    Resid… NA             
-##  5  3032   4   Grassland                      Suitable    Resid… NA             
-##  6  3032  14.5 Urban Areas                    Suitable    Resid… NA             
-##  7  3046   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-##  8  3046   5   Wetlands (inland)              Suitable    Resid… NA             
-##  9  3046   2.1 Savanna - Dry                  Suitable    Resid… NA             
-## 10  3046   3.5 Shrubland - Subtropical/tropi… Suitable    Non-b… NA             
-## 11  3046   1.4 Forest - Temperate             Suitable    Non-b… NA             
-## 12  3046  14.2 Pastureland                    Suitable    Non-b… NA             
-## 13  3046  14.1 Arable Land                    Suitable    Passa… NA             
-## 14  3046   5.5 Wetlands (inland) - Permanent… Suitable    Passa… NA             
-## 15  3046   5   Wetlands (inland)              Suitable    Passa… NA             
-## 16  3255   4.4 Grassland - Temperate          Suitable    Resid… NA             
-## 17  3255   5.5 Wetlands (inland) - Permanent… Suitable    Resid… NA             
-## 18  3255   2.1 Savanna - Dry                  Suitable    Resid… NA             
-## 19  4008   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 20  4008   4.5 Grassland - Subtropical/tropi… Suitable    Resid… NA             
-## 21  4008   6   Rocky Areas (e.g., inland cli… Suitable    Resid… NA             
-## 22  4785   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 23  4785   5   Wetlands (inland)              Suitable    Resid… NA             
-## 24  4973   3.4 Shrubland - Temperate          Suitable    Resid… NA             
-## 25  4973   1.4 Forest - Temperate             Suitable    Resid… NA             
-## 26  4973  14.2 Pastureland                    Suitable    Resid… NA             
-## 27  5854   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 28  5854   2.1 Savanna - Dry                  Suitable    Resid… NA             
-## 29  5854   5   Wetlands (inland)              Suitable    Resid… NA             
-## 30  6068   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 31  6068   6   Rocky Areas (e.g., inland cli… Suitable    Resid… NA             
-## 32  6068   4   Grassland                      Suitable    Resid… NA             
-## 33  6678   4.4 Grassland - Temperate          Suitable    Resid… NA             
-## 34  6678   1.5 Forest - Subtropical/tropical… Suitable    Resid… NA             
-## 35  6678   3.5 Shrubland - Subtropical/tropi… Suitable    Resid… NA             
-## 36  6678   3.8 Shrubland - Mediterranean-typ… Suitable    Breed… NA             
-## 37  6678   3.5 Shrubland - Subtropical/tropi… Suitable    Breed… NA             
-## 38  6678  14.2 Pastureland                    Suitable    Breed… NA             
-## 39  6678  14.5 Urban Areas                    Suitable    Non-b… NA             
-## 40  6678   5   Wetlands (inland)              Suitable    Non-b… NA             
-## 41  6678  14.5 Urban Areas                    Suitable    Passa… NA             
-## 42  6678   3.8 Shrubland - Mediterranean-typ… Suitable    Passa… NA             
-## 43  6678   5.5 Wetlands (inland) - Permanent… Suitable    Passa… NA
+## 1 670 14.5 Urban Areas Suitable Breed… NA +## 2 670 14.2 Pastureland Suitable Breed… NA +## 3 670 4.4 Grassland - Temperate Suitable Non-b… NA +## 4 670 3.5 Shrubland - Subtropical/tropi… Suitable Non-b… NA +## 5 670 6 Rocky Areas (e.g., inland cli… Suitable Non-b… NA +## 6 670 1.5 Forest - Subtropical/tropical… Suitable Passa… NA +## 7 670 3.8 Shrubland - Mediterranean-typ… Suitable Passa… NA +## 8 670 3.4 Shrubland - Temperate Suitable Passa… NA +## 9 2072 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 10 2072 1.4 Forest - Temperate Suitable Resid… NA +## 11 2072 2.1 Savanna - Dry Suitable Resid… NA +## 12 2374 4.4 Grassland - Temperate Suitable Resid… NA +## 13 2374 2.1 Savanna - Dry Suitable Resid… NA +## 14 2374 14.5 Urban Areas Suitable Resid… NA +## 15 3667 1.4 Forest - Temperate Suitable Resid… NA +## 16 3667 3.5 Shrubland - Subtropical/tropi… Suitable Resid… NA +## 17 3667 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 18 4421 3.5 Shrubland - Subtropical/tropi… Suitable Resid… NA +## 19 4421 4.4 Grassland - Temperate Suitable Resid… NA +## 20 4650 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 21 4650 4.4 Grassland - Temperate Suitable Resid… NA +## 22 4650 14.5 Urban Areas Suitable Resid… NA +## 23 5808 14.5 Urban Areas Suitable Resid… NA +## 24 5808 14.1 Arable Land Suitable Resid… NA +## 25 5808 14.2 Pastureland Suitable Resid… NA +## 26 5808 3.8 Shrubland - Mediterranean-typ… Suitable Breed… NA +## 27 5808 4.1 Grassland - Tundra Suitable Breed… NA +## 28 5808 2.1 Savanna - Dry Suitable Breed… NA +## 29 5808 14.1 Arable Land Suitable Non-b… NA +## 30 5808 5.5 Wetlands (inland) - Permanent… Suitable Non-b… NA +## 31 5808 3.8 Shrubland - Mediterranean-typ… Suitable Passa… NA +## 32 5808 5.5 Wetlands (inland) - Permanent… Suitable Passa… NA +## 33 5808 4 Grassland Suitable Passa… NA +## 34 6701 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 35 6701 5.5 Wetlands (inland) - Permanent… Suitable Resid… NA +## 36 6701 4.1 Grassland - Tundra Suitable Resid… NA +## 37 8110 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 38 8110 1.4 Forest - Temperate Suitable Resid… NA +## 39 8110 14.5 Urban Areas Suitable Resid… NA +## 40 8644 3.4 Shrubland - Temperate Suitable Resid… NA +## 41 8644 14.5 Urban Areas Suitable Resid… NA +## 42 8644 5 Wetlands (inland) Suitable Resid… NA

Next, we will import data to describe the species’ elevational limits. Although such data would be automatically obtained from the IUCN Red List by default (using the get_spp_summary_data() function), here we will import example data distributed with the package. As before, please note that these data were not obtained from the IUCN Red List, and were randomly generated. Since the dataset contains additional columns that aren’t strictly necessary, we will also update it to include only necessary columns. If you wish to use your own data, please ensure that they follow the same conventions (e.g., column names, data types).

 # find file path for species habitat preference data
@@ -233,16 +232,16 @@ 

Tutorial## # A tibble: 10 × 4 ## id_no elevation_lower elevation_upper category ## <int> <int> <int> <chr> -## 1 932 76 830 NT -## 2 3032 36 999 EN -## 3 3046 23 874 EN -## 4 3255 90 1050 VU -## 5 4008 38 933 EN -## 6 4785 45 942 EN -## 7 4973 43 1058 EN -## 8 5854 45 1018 EN -## 9 6068 335 1052 NT -## 10 6678 32 1017 EN

+## 1 670 82 942 LC +## 2 2072 46 907 NT +## 3 2374 65 1020 VU +## 4 3667 15 598 EN +## 5 4421 85 949 VU +## 6 4650 54 951 NT +## 7 5808 91 974 VU +## 8 6701 221 1069 EN +## 9 8110 75 991 VU +## 10 8644 182 1183 LC

After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the "id_no" column values are used to denote different taxa—meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named "Simulus spp. 932" has an identifier ("id_no" value) of 932, and this identifier is used to denote its range in the spp_range_data dataset, its habitat preferences in the spp_habitat_data dataset, and its elevational limits in the spp_summary_data dataset. We can verify that each of the species have the required information across all three datasets using the following code.

 # verify all identifiers in range data are present in habitat preference data
@@ -299,9 +298,9 @@ 

Tutorial## extent : -929631, 338369, 4289077, 5081077 (xmin, xmax, ymin, ymax) ## coord. ref. : World_Behrmann ## source : sim_habitat_data.tif -## name : jung-10-5281_zenodo-4058819 -## min value : 104 -## max value : 1405

+## name : jung-lvl2-10-5281_zenodo-4058819 +## min value : 104 +## max value : 1405
 # visualize data
 plot(habitat_data, main = "Habitat classification data")
@@ -472,60 +471,60 @@

Tutorial## Simple feature collection with 15 features and 8 fields ## Geometry type: MULTIPOLYGON ## Dimension: XY -## Bounding box: xmin: -916330.2 ymin: 4303624 xmax: 320141.5 ymax: 5069358 +## Bounding box: xmin: -916330.2 ymin: 4304151 xmax: 320141.5 ymax: 5069358 ## Projected CRS: World_Behrmann ## # A tibble: 15 × 9 ## id_no binomial category migratory seasonal ## <int> <chr> <chr> <lgl> <int> -## 1 932 Simulus spp. 932 NT FALSE 1 -## 2 3032 Simulus spp. 3032 EN FALSE 1 -## 3 3046 Simulus spp. 3046 EN TRUE 1 -## 4 3046 Simulus spp. 3046 EN TRUE 3 -## 5 3046 Simulus spp. 3046 EN TRUE 4 -## 6 3255 Simulus spp. 3255 VU FALSE 1 -## 7 4008 Simulus spp. 4008 EN FALSE 1 -## 8 4785 Simulus spp. 4785 EN FALSE 1 -## 9 4973 Simulus spp. 4973 EN FALSE 1 -## 10 5854 Simulus spp. 5854 EN FALSE 1 -## 11 6068 Simulus spp. 6068 NT FALSE 1 -## 12 6678 Simulus spp. 6678 EN TRUE 1 -## 13 6678 Simulus spp. 6678 EN TRUE 2 -## 14 6678 Simulus spp. 6678 EN TRUE 3 -## 15 6678 Simulus spp. 6678 EN TRUE 4 -## full_habitat_code elevation_lower elevation_upper -## <chr> <dbl> <dbl> -## 1 1.4|2.1|14.2 76 830 -## 2 1.4|4|14.5 36 999 -## 3 1.4|2.1|3.5|3.8|5|14.2 23 874 -## 4 1.4|2.1|3.5|3.8|5|14.2 23 874 -## 5 2.1|3.8|5|5.5|14.1 23 874 -## 6 2.1|4.4|5.5 90 1050 -## 7 3.8|4.5|6 38 933 -## 8 3.8|5 45 942 -## 9 1.4|3.4|14.2 43 1058 -## 10 2.1|3.8|5 45 1018 -## 11 3.8|4|6 335 1052 -## 12 1.5|3.5|3.8|4.4|5|14.2|14.5 32 1017 -## 13 1.5|3.5|3.8|4.4|14.2 32 1017 -## 14 1.5|3.5|4.4|5|14.5 32 1017 -## 15 1.5|3.5|3.8|4.4|5.5|14.5 32 1017 +## 1 670 Simulus spp. 670 LC TRUE 2 +## 2 670 Simulus spp. 670 LC TRUE 3 +## 3 670 Simulus spp. 670 LC TRUE 4 +## 4 2072 Simulus spp. 2072 NT FALSE 1 +## 5 2374 Simulus spp. 2374 VU FALSE 1 +## 6 3667 Simulus spp. 3667 EN FALSE 1 +## 7 4421 Simulus spp. 4421 VU FALSE 1 +## 8 4650 Simulus spp. 4650 NT FALSE 1 +## 9 5808 Simulus spp. 5808 VU TRUE 1 +## 10 5808 Simulus spp. 5808 VU TRUE 2 +## 11 5808 Simulus spp. 5808 VU TRUE 3 +## 12 5808 Simulus spp. 5808 VU TRUE 4 +## 13 6701 Simulus spp. 6701 EN FALSE 1 +## 14 8110 Simulus spp. 8110 VU FALSE 1 +## 15 8644 Simulus spp. 8644 LC FALSE 1 +## full_habitat_code elevation_lower elevation_upper +## <chr> <dbl> <dbl> +## 1 14.2|14.5 82 942 +## 2 3.5|4.4|6 82 942 +## 3 1.5|3.4|3.8 82 942 +## 4 1.4|2.1|3.8 46 907 +## 5 2.1|4.4|14.5 65 1020 +## 6 1.4|3.5|3.8 15 598 +## 7 3.5|4.4 85 949 +## 8 3.8|4.4|14.5 54 951 +## 9 2.1|3.8|4.1|5.5|14.1|14.2|14.5 91 974 +## 10 2.1|3.8|4.1|14.1|14.2|14.5 91 974 +## 11 5.5|14.1|14.2|14.5 91 974 +## 12 3.8|4|5.5|14.1|14.2|14.5 91 974 +## 13 3.8|4.1|5.5 221 1069 +## 14 1.4|3.8|14.5 75 991 +## 15 3.4|5|14.5 182 1183 ## geometry ## <MULTIPOLYGON [m]> -## 1 (((-258785.9 4373975, -259388.9 4373961, -259722.7 4374219, -259763.3 437477… -## 2 (((-898611.5 4581120, -898487 4582068, -898568 4583427, -898710.8 4584912, -… -## 3 (((-543217.8 4306838, -544040.8 4307238, -530044.5 4307493, -536345 4305531,… -## 4 (((-702794.5 5010491, -697534.1 5010700, -691796 5010701, -686526.9 5010497,… -## 5 (((-846570.6 4526624, -846956.6 4532064, -847632 4538406, -848596.8 4543939,… -## 6 (((-115783.5 4463875, -117192.2 4464336, -117012.8 4464393, -116300.7 446450… -## 7 (((-714770.4 4422914, -716314.1 4423936, -718436.8 4424446, -720656 4424446,… -## 8 (((-916330.2 4589149, -915847.8 4590048, -914689.9 4591247, -912277.8 459314… -## 9 (((-892701.7 4574681, -892524.1 4574097, -892787.6 4574644, -892701.7 457468… -## 10 (((-563984.5 4317153, -563311 4316652, -562879.7 4316319, -562663.6 4316639,… -## 11 (((-397539.9 4378952, -397571.7 4379918, -397867 4380162, -398408.3 4379839,… -## 12 (((-284154 4390088, -283822.1 4400898, -283286.6 4407321, -282607.3 4409338,… -## 13 (((-397731.9 5034174, -397592 5032000, -397489.7 5029929, -397567.9 5028348,… -## 14 (((-617519.9 4370854, -616907.2 4370821, -616553.1 4371304, -616493.3 437237… -## 15 (((-715059.8 4425263, -714866.9 4424855, -714577.4 4424446, -713998.5 442434… +## 1 (((-744167.8 5065733, -744758.3 5065030, -745429.8 5064437, -745619 5064063,… +## 2 (((27902.87 4746365, 27056.68 4747482, 26787.49 4748880, 27030.63 4750311, 2… +## 3 (((-463308.8 4832969, -462721.2 4833049, -461995.6 4833183, -461258.5 483323… +## 4 (((-415672.5 4377074, -416862.2 4377160, -416399.1 4377219, -415731.4 437712… +## 5 (((-568331.2 4328892, -568572.4 4330309, -568690.1 4331566, -568471.1 433245… +## 6 (((-598890.3 4658362, -599068.8 4657037, -598638.5 4656082, -597329.2 465567… +## 7 (((-862522.7 4407131, -862193.7 4407172, -862201.4 4407165, -862640.4 440702… +## 8 (((-613250.4 4368112, -611865.8 4368219, -610831.5 4368152, -610384.8 436778… +## 9 (((-604205.8 4355480, -604258.8 4354866, -604481.7 4354214, -604629.3 435369… +## 10 (((-214939.6 4390035, -213485.5 4389897, -212252.4 4389503, -211509.5 438892… +## 11 (((-712163.3 4853217, -712938.1 4854392, -714015.8 4854814, -715276.9 485473… +## 12 (((-853538.9 4415882, -853532.1 4415239, -853670.1 4414456, -853800.3 441371… +## 13 (((-501888.8 5040197, -501188.3 5040426, -500444.4 5040511, -499781.6 504024… +## 14 (((-259653.3 4377133, -259650.4 4376545, -259928.2 4375843, -260216.7 437513… +## 15 (((166524.7 4944201, 165755.7 4943358, 165117 4942089, 164815 4940646, 16505…

Next, we can generate the Area of Habitat data.

 # specify folder to save Area of Habitat data
@@ -566,77 +565,77 @@ 

Tutorial## Simple feature collection with 15 features and 14 fields ## Geometry type: MULTIPOLYGON ## Dimension: XY -## Bounding box: xmin: -916330.2 ymin: 4303624 xmax: 320141.5 ymax: 5069358 +## Bounding box: xmin: -916330.2 ymin: 4304151 xmax: 320141.5 ymax: 5069358 ## Projected CRS: World_Behrmann ## # A tibble: 15 × 15 ## id_no binomial category migratory seasonal ## * <int> <chr> <chr> <lgl> <int> -## 1 932 Simulus spp. 932 NT FALSE 1 -## 2 3032 Simulus spp. 3032 EN FALSE 1 -## 3 3046 Simulus spp. 3046 EN TRUE 1 -## 4 3046 Simulus spp. 3046 EN TRUE 3 -## 5 3046 Simulus spp. 3046 EN TRUE 4 -## 6 3255 Simulus spp. 3255 VU FALSE 1 -## 7 4008 Simulus spp. 4008 EN FALSE 1 -## 8 4785 Simulus spp. 4785 EN FALSE 1 -## 9 4973 Simulus spp. 4973 EN FALSE 1 -## 10 5854 Simulus spp. 5854 EN FALSE 1 -## 11 6068 Simulus spp. 6068 NT FALSE 1 -## 12 6678 Simulus spp. 6678 EN TRUE 1 -## 13 6678 Simulus spp. 6678 EN TRUE 2 -## 14 6678 Simulus spp. 6678 EN TRUE 3 -## 15 6678 Simulus spp. 6678 EN TRUE 4 -## full_habitat_code habitat_code elevation_lower -## * <chr> <chr> <dbl> -## 1 1.4|2.1|14.2 1.4|2.1|14.2 76 -## 2 1.4|4|14.5 1.4|4|14.5 36 -## 3 1.4|2.1|3.5|3.8|5|14.2 1.4|2.1|3.5|3.8|5|14.2 23 -## 4 1.4|2.1|3.5|3.8|5|14.2 1.4|2.1|3.5|3.8|5|14.2 23 -## 5 2.1|3.8|5|5.5|14.1 2.1|3.8|5|5.5|14.1 23 -## 6 2.1|4.4|5.5 2.1|4.4|5.5 90 -## 7 3.8|4.5|6 3.8|4.5|6 38 -## 8 3.8|5 3.8|5 45 -## 9 1.4|3.4|14.2 1.4|3.4|14.2 43 -## 10 2.1|3.8|5 2.1|3.8|5 45 -## 11 3.8|4|6 3.8|4|6 335 -## 12 1.5|3.5|3.8|4.4|5|14.2|14.5 1.5|3.5|3.8|4.4|5|14.2|14.5 32 -## 13 1.5|3.5|3.8|4.4|14.2 1.5|3.5|3.8|4.4|14.2 32 -## 14 1.5|3.5|4.4|5|14.5 1.5|3.5|4.4|5|14.5 32 -## 15 1.5|3.5|3.8|4.4|5.5|14.5 1.5|3.5|3.8|4.4|5.5|14.5 32 +## 1 670 Simulus spp. 670 LC TRUE 2 +## 2 670 Simulus spp. 670 LC TRUE 3 +## 3 670 Simulus spp. 670 LC TRUE 4 +## 4 2072 Simulus spp. 2072 NT FALSE 1 +## 5 2374 Simulus spp. 2374 VU FALSE 1 +## 6 3667 Simulus spp. 3667 EN FALSE 1 +## 7 4421 Simulus spp. 4421 VU FALSE 1 +## 8 4650 Simulus spp. 4650 NT FALSE 1 +## 9 5808 Simulus spp. 5808 VU TRUE 1 +## 10 5808 Simulus spp. 5808 VU TRUE 2 +## 11 5808 Simulus spp. 5808 VU TRUE 3 +## 12 5808 Simulus spp. 5808 VU TRUE 4 +## 13 6701 Simulus spp. 6701 EN FALSE 1 +## 14 8110 Simulus spp. 8110 VU FALSE 1 +## 15 8644 Simulus spp. 8644 LC FALSE 1 +## full_habitat_code habitat_code elevation_lower +## * <chr> <chr> <dbl> +## 1 14.2|14.5 14.2|14.5 82 +## 2 3.5|4.4|6 3.5|4.4|6 82 +## 3 1.5|3.4|3.8 1.5|3.4|3.8 82 +## 4 1.4|2.1|3.8 1.4|2.1|3.8 46 +## 5 2.1|4.4|14.5 2.1|4.4|14.5 65 +## 6 1.4|3.5|3.8 1.4|3.5|3.8 15 +## 7 3.5|4.4 3.5|4.4 85 +## 8 3.8|4.4|14.5 3.8|4.4|14.5 54 +## 9 2.1|3.8|4.1|5.5|14.1|14.2|14.5 2.1|3.8|4.1|5.5|14.1|14.2|14.5 91 +## 10 2.1|3.8|4.1|14.1|14.2|14.5 2.1|3.8|4.1|14.1|14.2|14.5 91 +## 11 5.5|14.1|14.2|14.5 5.5|14.1|14.2|14.5 91 +## 12 3.8|4|5.5|14.1|14.2|14.5 3.8|4|5.5|14.1|14.2|14.5 91 +## 13 3.8|4.1|5.5 3.8|4.1|5.5 221 +## 14 1.4|3.8|14.5 1.4|3.8|14.5 75 +## 15 3.4|5|14.5 3.4|5|14.5 182 ## 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Finally, let’s create some maps to compare the range data with the Area of habitat data. Although we could create these maps manually (e.g., using the ggplot2 R package), we will use a plotting function distributed with the aoh R package for convenience. Although the full dataset contains many species; for brevity, we will only show the first four species’ seasonal distributions.

 # create maps
diff --git a/docs/articles/customization_files/figure-html/unnamed-chunk-15-1.png b/docs/articles/customization_files/figure-html/unnamed-chunk-15-1.png
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UjUaQDyT)ixb^S+`sUsage axis.text = element_text(size = 6), strip.text = element_text(color = "white"), strip.background = element_rect(fill = "black", color = "black") - ) - -# display maps + )

+
## |---------|---------|---------|---------|=========================================                                          
+
+# display maps
 print(map)

@@ -316,48 +317,48 @@

Usage

Citation

Please cite the aoh R package and the underlying datasets used to produce Area of Habitat data.

-
Area of Habitat data are created using a range of different datasets.
-Depending on which datasets are used, please cite the aoh package and
-relevant data using:
-
-  Hanson JO (2024) aoh: Create Area of Habitat Data. R package version
-  0.0.2.12. Available at https://github.com/prioritizr/aoh.
-
-  IUCN [insert year] IUCN Red List of Threatened Species. Version
-  [insert version]. Available at www.iucnredlist.org.
-
-  BirdLife International and Handbook of the Birds of the World
-  ([insert year]) Bird species distribution maps of the world. Version
-  [insert version]. Available at
-  https://datazone.birdlife.org/species/requestdis.
-
-  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
-  V, Rondinini C, Visconti P (2020). "A global map of terrestrial
-  habitat types." _Scientific Data_, *7*(1), 256.
-  doi:10.1038/s41597-020-00599-8
-  <https://doi.org/10.1038/s41597-020-00599-8>.
-
-  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
-  V, Rondinini C, and Visconti P (2020b) A global map of terrestrial
-  habitat types (insert version) [Data set]. Zenodo. Available at
-  https://doi.org/10.5281/zenodo.4058819.
-
-  Lumbierres M, Dahal PR, Di Marco M, Butchart SHM, Donald PF,
-  Rondinini C (2021). "Translating habitat class to land cover to map
-  area of habitat of terrestrial vertebrates." _Conservation Biology_,
-  *36*(3), e13851. doi:10.1111/cobi.13851
-  <https://doi.org/10.1111/cobi.13851>.
-
-  Robinson N, Regetz J, Guralnick RP (2014). "EarthEnv-DEM90: A
-  nearly-global, void-free, multi-scale smoothed 90m digital elevation
-  model from fused ASTER and SRTM data." _ISPRS Journal of
-  Photogrammetry and Remote Sensing_, *87*(1), 57-67.
-  doi:10.1016/j.isprsjprs.2013.11.002
-  <https://doi.org/10.1016/j.isprsjprs.2013.11.002>.
-
-To see these entries in BibTeX format, use 'print(<citation>,
-bibtex=TRUE)', 'toBibtex(.)', or set
-'options(citation.bibtex.max=999)'.
+
Area of Habitat data are created using a range of different datasets.
+Depending on which datasets are used, please cite the aoh package and
+relevant data using:
+
+  Hanson JO (2024) aoh: Create Area of Habitat Data. R package version
+  0.0.2.12. Available at https://github.com/prioritizr/aoh.
+
+  IUCN [insert year] IUCN Red List of Threatened Species. Version
+  [insert version]. Available at www.iucnredlist.org.
+
+  BirdLife International and Handbook of the Birds of the World
+  ([insert year]) Bird species distribution maps of the world. Version
+  [insert version]. Available at
+  https://datazone.birdlife.org/species/requestdis.
+
+  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
+  V, Rondinini C, Visconti P (2020). "A global map of terrestrial
+  habitat types." _Scientific Data_, *7*(1), 256.
+  doi:10.1038/s41597-020-00599-8
+  <https://doi.org/10.1038/s41597-020-00599-8>.
+
+  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
+  V, Rondinini C, and Visconti P (2020b) A global map of terrestrial
+  habitat types (insert version) [Data set]. Zenodo. Available at
+  https://doi.org/10.5281/zenodo.4058819.
+
+  Lumbierres M, Dahal PR, Di Marco M, Butchart SHM, Donald PF,
+  Rondinini C (2021). "Translating habitat class to land cover to map
+  area of habitat of terrestrial vertebrates." _Conservation Biology_,
+  *36*(3), e13851. doi:10.1111/cobi.13851
+  <https://doi.org/10.1111/cobi.13851>.
+
+  Robinson N, Regetz J, Guralnick RP (2014). "EarthEnv-DEM90: A
+  nearly-global, void-free, multi-scale smoothed 90m digital elevation
+  model from fused ASTER and SRTM data." _ISPRS Journal of
+  Photogrammetry and Remote Sensing_, *87*(1), 57-67.
+  doi:10.1016/j.isprsjprs.2013.11.002
+  <https://doi.org/10.1016/j.isprsjprs.2013.11.002>.
+
+To see these entries in BibTeX format, use 'print(<citation>,
+bibtex=TRUE)', 'toBibtex(.)', or set
+'options(citation.bibtex.max=999)'.

diff --git a/docs/news/index.html b/docs/news/index.html index 70ceb60f..3f893350 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -63,7 +63,8 @@

Changelog

  • Fix bug in create_spp_info_data() in assigning habitat types for resident distributions of migratory and non-migratory species. This bug meant that (i) habitat types for resident distributions of migratory species would include those exclusively affiliated with the species’ passage distributions and (ii) habitat types for resident distributions of non-migratory species would not include those exclusively affiliated with the species’ passage distributions. Thanks to Jianqiao Zhao for raising this issue.
  • -
  • Fix bug in create_spp_aoh_data() that caused errors when using the GDAL engine on macOS systems.
  • +
  • Update built-in testing data to include multiple migratory species.
  • +
  • Update internal R script for creating test dataset (i.e., inst/scripts/test-data.R) to be compatible with current version of the package.
  • Fix URLs.
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index a9f30235..a36cfb03 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -4,5 +4,5 @@ pkgdown_sha: ~ articles: aoh: aoh.html customization: customization.html -last_built: 2024-07-23T01:23Z +last_built: 2024-07-23T10:03Z diff --git a/docs/reference/calc_spp_frc_data.html b/docs/reference/calc_spp_frc_data.html index f1264ad1..47865004 100644 --- a/docs/reference/calc_spp_frc_data.html +++ b/docs/reference/calc_spp_frc_data.html @@ -237,19 +237,19 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [1.5s] +#> initializing [1.4s] #> #> cleaning species range data -#> cleaning species range data [1.9s] +#> cleaning species range data [1.8s] #> #> importing species summary data -#> importing species summary data [467ms] +#> importing species summary data [459ms] #> #> importing species habitat data -#> importing species habitat data [337ms] +#> importing species habitat data [334ms] #> #> collating species data -#> collating species data [159ms] +#> collating species data [155ms] #> #> post-processing results #> post-processing results [11ms] @@ -267,21 +267,21 @@

Examples

#> initializing [5ms] #> #> importing global elevation data -#> importing global elevation data [7.8s] +#> importing global elevation data [7.5s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5s] +#> importing global habitat data [5.4s] #> #> generating Area of Habitat data #> processing ■■■■■■■■■ [ 25% | ETA: 11s] -#> processing ■■■■■■■■■■■■■■■■ [ 50% | ETA: 8s] +#> processing ■■■■■■■■■■■■■■■■ [ 50% | ETA: 7s] #> processing ■■■■■■■■■■■■■■■■■■■■■■■ [ 75% | ETA: 5s] -#> processing [23.4s] +#> processing [22.7s] #> #> generating Area of Habitat data -#> generating Area of Habitat data [23.4s] +#> generating Area of Habitat data [22.7s] #> #> post-processing results #> post-processing results [11ms] @@ -296,7 +296,7 @@

Examples

cache_dir = cache_dir ) #> importing global habitat data -#> importing global habitat data [5.5s] +#> importing global habitat data [5.9s] #> # } diff --git a/docs/reference/create_spp_aoh_data.html b/docs/reference/create_spp_aoh_data.html index 4f43bcc7..3436250c 100644 --- a/docs/reference/create_spp_aoh_data.html +++ b/docs/reference/create_spp_aoh_data.html @@ -408,22 +408,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [333ms] +#> initializing [348ms] #> #> cleaning species range data -#> cleaning species range data [3.3s] +#> cleaning species range data [3.2s] #> #> importing species summary data #> importing species summary data [338ms] #> #> importing species habitat data -#> importing species habitat data [329ms] +#> importing species habitat data [336ms] #> #> collating species data -#> collating species data [220ms] +#> collating species data [216ms] #> #> post-processing results -#> post-processing results [12ms] +#> post-processing results [11ms] #> #> finished @@ -439,12 +439,12 @@

Examples

#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [7.5s] +#> importing global elevation data [6.9s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [4.9s] +#> importing global habitat data [5.3s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed diff --git a/docs/reference/create_spp_frc_data.html b/docs/reference/create_spp_frc_data.html index 2937a291..28b18002 100644 --- a/docs/reference/create_spp_frc_data.html +++ b/docs/reference/create_spp_frc_data.html @@ -445,22 +445,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [331ms] +#> initializing [341ms] #> #> cleaning species range data #> cleaning species range data [3.1s] #> #> importing species summary data -#> importing species summary data [341ms] +#> importing species summary data [339ms] #> #> importing species habitat data -#> importing species habitat data [331ms] +#> importing species habitat data [336ms] #> #> collating species data -#> collating species data [221ms] +#> collating species data [216ms] #> #> post-processing results -#> post-processing results [13ms] +#> post-processing results [11ms] #> #> finished @@ -476,12 +476,12 @@

Examples

#> initializing [5ms] #> #> importing global elevation data -#> importing global elevation data [7.9s] +#> importing global elevation data [7.5s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.2s] +#> importing global habitat data [5.3s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed diff --git a/docs/reference/create_spp_info_data.html b/docs/reference/create_spp_info_data.html index 58ffb35d..ca2935c0 100644 --- a/docs/reference/create_spp_info_data.html +++ b/docs/reference/create_spp_info_data.html @@ -482,22 +482,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [334ms] +#> initializing [343ms] #> #> cleaning species range data -#> cleaning species range data [3.1s] +#> cleaning species range data [3s] #> #> importing species summary data -#> importing species summary data [335ms] +#> importing species summary data [338ms] #> #> importing species habitat data -#> importing species habitat data [333ms] +#> importing species habitat data [336ms] #> #> collating species data -#> collating species data [219ms] +#> collating species data [218ms] #> #> post-processing results -#> post-processing results [11ms] +#> post-processing results [12ms] #> #> finished # } diff --git a/docs/reference/plot_spp_aoh_data.html b/docs/reference/plot_spp_aoh_data.html index d57a81cb..b7e8396e 100644 --- a/docs/reference/plot_spp_aoh_data.html +++ b/docs/reference/plot_spp_aoh_data.html @@ -165,22 +165,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [573ms] +#> initializing [393ms] #> #> cleaning species range data #> cleaning species range data [3.3s] #> #> importing species summary data -#> importing species summary data [335ms] +#> importing species summary data [333ms] #> #> importing species habitat data -#> importing species habitat data [332ms] +#> importing species habitat data [325ms] #> #> collating species data -#> collating species data [214ms] +#> collating species data [215ms] #> #> post-processing results -#> post-processing results [11ms] +#> post-processing results [10ms] #> #> finished @@ -195,12 +195,12 @@

Examples

#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [7.5s] +#> importing global elevation data [7.6s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.3s] +#> importing global habitat data [4.8s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed diff --git a/docs/reference/plot_spp_frc_data.html b/docs/reference/plot_spp_frc_data.html index 17db99ae..9cb06d34 100644 --- a/docs/reference/plot_spp_frc_data.html +++ b/docs/reference/plot_spp_frc_data.html @@ -167,19 +167,19 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [336ms] +#> initializing [331ms] #> #> cleaning species range data #> cleaning species range data [3.4s] #> #> importing species summary data -#> importing species summary data [333ms] +#> importing species summary data [342ms] #> #> importing species habitat data -#> importing species habitat data [328ms] +#> importing species habitat data [324ms] #> #> collating species data -#> collating species data [231ms] +#> collating species data [235ms] #> #> post-processing results #> post-processing results [11ms] @@ -195,22 +195,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [5ms] +#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [6.9s] +#> importing global elevation data [7.5s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.5s] +#> importing global habitat data [5.2s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed #> generating Area of Habitat data [32ms] #> #> post-processing results -#> post-processing results [33ms] +#> post-processing results [32ms] #> #> finished @@ -223,7 +223,7 @@

Examples

) #> importing global habitat data #> skipping 4 species distributions already processed -#> importing global habitat data [5.2s] +#> importing global habitat data [5.5s] #> # plot the data to visualize the range maps and fractional coverage data p <- plot_spp_frc_data(spp_frc_data) diff --git a/docs/reference/simulate_spp_data.html b/docs/reference/simulate_spp_data.html index f2865e50..1e19de63 100644 --- a/docs/reference/simulate_spp_data.html +++ b/docs/reference/simulate_spp_data.html @@ -250,10 +250,10 @@

Examples

n = 5, boundary_data = boundary_data, cache_dir = download_dir ) #> importing global elevation data -#> importing global elevation data [7.1s] +#> importing global elevation data [7.4s] #> #> importing global habitat data -#> importing global habitat data [43.3s] +#> importing global habitat data [45s] #> # preview species range data diff --git a/docs/reference/terra_gdal_calc.html b/docs/reference/terra_gdal_calc.html index 11ba24ea..2bae23ce 100644 --- a/docs/reference/terra_gdal_calc.html +++ b/docs/reference/terra_gdal_calc.html @@ -233,7 +233,7 @@

Examples

# run calculation y <- terra_gdal_calc(x, "(X < 20) * 1") -#> System command: gdal_calc.py -X "/tmp/Rtmpyk9VK4/file25df819f2b8dc.tif" --outfile="/tmp/Rtmpyk9VK4/file25df84f6556e2.tif" --calc="(X < 20) * 1" --type="Float32" --co="NUM_THREADS=1" --co="COMPRESS=LZW" --co="PREDICTOR=1" +#> System command: gdal_calc.py -X "/tmp/Rtmpfor5XR/file305317c662bc9.tif" --outfile="/tmp/Rtmpfor5XR/file305312388a802.tif" --calc="(X < 20) * 1" --type="Float32" --co="NUM_THREADS=1" --co="COMPRESS=LZW" --co="PREDICTOR=1" # preview result print(y) @@ -242,7 +242,7 @@

Examples

#> resolution : 0.5, 0.5 (x, y) #> extent : -110, -90, 40, 60 (xmin, xmax, ymin, ymax) #> coord. ref. : lon/lat WGS 84 (EPSG:4326) -#> source : file25df84f6556e2.tif +#> source : file305312388a802.tif #> name : lyr.1 # }
diff --git a/docs/reference/terra_gdal_crop.html b/docs/reference/terra_gdal_crop.html index a54c57ab..e715c7e6 100644 --- a/docs/reference/terra_gdal_crop.html +++ b/docs/reference/terra_gdal_crop.html @@ -184,7 +184,7 @@

Examples

#> resolution : 0.5, 0.5 (x, y) #> extent : -105, -92.5, 41, 58.5 (xmin, xmax, ymin, ymax) #> coord. ref. : lon/lat WGS 84 (EPSG:4326) -#> source : file25df869dd6245.tif +#> source : file30531b7fcfc0.tif #> name : lyr.1
diff --git a/docs/reference/terra_gdal_project.html b/docs/reference/terra_gdal_project.html index e4716662..52f7a20d 100644 --- a/docs/reference/terra_gdal_project.html +++ b/docs/reference/terra_gdal_project.html @@ -194,7 +194,7 @@

Examples

#> resolution : 19999.99, 20000 (x, y) #> extent : -944881, 935118, 4664377, 7144377 (xmin, xmax, ymin, ymax) #> coord. ref. : +proj=lcc +lat_0=0 +lon_0=-100 +lat_1=48 +lat_2=33 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs -#> source : file25df8697ddd22.tif +#> source : file305312576eda7.tif #> name : lyr.1 diff --git a/inst/doc/aoh.html b/inst/doc/aoh.html index 62353a07..d7304c86 100644 --- a/inst/doc/aoh.html +++ b/inst/doc/aoh.html @@ -282,10 +282,10 @@

Tutorial

## # A tibble: 4 × 5 ## id_no binomial seasonal path geometry ## <dbl> <chr> <int> <chr> <POLYGON [m]> -## 1 979 Alytes dickhilleni 1 /tmp/Rtmp4jowx… ((-105506.8 4465112, -10… -## 2 59448 Calotriton asper 1 /tmp/Rtmp4jowx… ((-238681 5029057, -2377… -## 3 4657 Chioglossa lusitanica 1 /tmp/Rtmp4jowx… ((-859201.6 4559278, -85… -## 4 58622 Rana iberica 1 /tmp/Rtmp4jowx… ((-849801.9 4614149, -84… +## 1 979 Alytes dickhilleni 1 /tmp/RtmpTR2H9… ((-105506.8 4465112, -10… +## 2 59448 Calotriton asper 1 /tmp/RtmpTR2H9… ((-238681 5029057, -2377… +## 3 4657 Chioglossa lusitanica 1 /tmp/RtmpTR2H9… ((-859201.6 4559278, -85… +## 4 58622 Rana iberica 1 /tmp/RtmpTR2H9… ((-849801.9 4614149, -84…

After generating the Area of Habitat data, we can import them.

# import the Area of Habitat data
 ## since the data for each species have a different spatial extent
@@ -340,7 +340,7 @@ 

Tutorial

We can see that the Area of Habitat data for each species are stored in separate spatial (raster) datasets with different extents. Although this is useful because it drastically reduces the total size of the data for each species, it can make it difficult to work with data for multiple species. To address this, we can use the terra_combine() function to automatically align and combine the spatial data for all species’ distributions into a single spatial dataset.

# combine raster data
 spp_aoh_rasters <- terra_combine(spp_aoh_rasters)
-
## |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|=====================                                          
+
## |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|================                                          
# assign identifiers to layer names
 names(spp_aoh_rasters) <- paste0(
   "AOH_", spp_aoh_data$id_no, "_", spp_aoh_data$seasonal
@@ -353,10 +353,10 @@ 

Tutorial

## resolution : 100, 100 (x, y) ## extent : -914731, 318669, 4364377, 5066777 (xmin, xmax, ymin, ymax) ## coord. ref. : World_Behrmann -## sources : spat_2668b689624bd_157323.tif -## spat_2668b702b6cce_157323.tif -## spat_2668b1a6da19c_157323.tif -## spat_2668b52e3ef5_157323.tif +## sources : spat_30e2f660c336b_200239.tif +## spat_30e2f6fa2518_200239.tif +## spat_30e2f41f64d80_200239.tif +## spat_30e2f5c266dd2_200239.tif ## varnames : 979_1 ## 59448_1 ## 4657_1 diff --git a/inst/doc/customization.html b/inst/doc/customization.html index 6c3475e3..6bd1dbc8 100644 --- a/inst/doc/customization.html +++ b/inst/doc/customization.html @@ -206,25 +206,25 @@

Tutorial

# preview data ## dataset follows the same format as the IUCN Red List spatial data print(spp_range_data)
-
## Simple feature collection with 31 features and 26 fields
+
## Simple feature collection with 34 features and 26 fields
 ## Geometry type: MULTIPOLYGON
 ## Dimension:     XY
-## Bounding box:  xmin: -9.497 ymin: 36.006 xmax: 3.318 ymax: 43.793
+## Bounding box:  xmin: -9.497 ymin: 36.01108 xmax: 3.318 ymax: 43.793
 ## Geodetic CRS:  WGS 84
-## # A tibble: 31 × 27
+## # A tibble: 34 × 27
 ##    id_no seasonal presence origin binomial          compiler yrcompiled citation
 ##    <int>    <dbl>    <dbl>  <dbl> <chr>             <chr>         <dbl> <chr>   
-##  1   932        1        1      1 Simulus spp. 932  Simulat…         NA <NA>    
-##  2   932        1        6      6 Simulus spp. 932  Simulat…         NA <NA>    
-##  3   932        1        3      3 Simulus spp. 932  Simulat…         NA <NA>    
-##  4   932        1        3      2 Simulus spp. 932  Simulat…         NA <NA>    
-##  5  3032        1        1      1 Simulus spp. 3032 Simulat…         NA <NA>    
-##  6  3032        1        1      2 Simulus spp. 3032 Simulat…         NA <NA>    
-##  7  3032        1        3      6 Simulus spp. 3032 Simulat…         NA <NA>    
-##  8  3046        1        1      1 Simulus spp. 3046 Simulat…         NA <NA>    
-##  9  3046        3        1      1 Simulus spp. 3046 Simulat…         NA <NA>    
-## 10  3046        4        1      1 Simulus spp. 3046 Simulat…         NA <NA>    
-## # ℹ 21 more rows
+##  1   670        2        1      1 Simulus spp. 670  Simulat…         NA <NA>    
+##  2   670        3        1      1 Simulus spp. 670  Simulat…         NA <NA>    
+##  3   670        4        1      1 Simulus spp. 670  Simulat…         NA <NA>    
+##  4  2072        1        1      1 Simulus spp. 2072 Simulat…         NA <NA>    
+##  5  2072        1        4      4 Simulus spp. 2072 Simulat…         NA <NA>    
+##  6  2072        1        3      3 Simulus spp. 2072 Simulat…         NA <NA>    
+##  7  2072        1        3      5 Simulus spp. 2072 Simulat…         NA <NA>    
+##  8  2374        1        1      1 Simulus spp. 2374 Simulat…         NA <NA>    
+##  9  2374        1        4      2 Simulus spp. 2374 Simulat…         NA <NA>    
+## 10  2374        1        5      2 Simulus spp. 2374 Simulat…         NA <NA>    
+## # ℹ 24 more rows
 ## # ℹ 19 more variables: subspecies <chr>, subpop <chr>, source <chr>,
 ## #   island <chr>, tax_comm <chr>, dist_comm <chr>, generalisd <int>,
 ## #   legend <chr>, kingdom <chr>, phylum <chr>, class <chr>, order_ <chr>,
@@ -237,7 +237,7 @@ 

Tutorial

geom_sf(data = spp_range_data, fill = "darkblue") + facet_wrap(~ id_no + seasonal) print(map)
-

+

Next, we will import data to describe the species’ habitat preferences. Although such data would be automatically obtained from the IUCN Red List by default (using the get_spp_habitat_data() function), here we will import example data distributed with the package. As before, please note that these data were not obtained from the IUCN Red List, and were randomly generated. If you wish to use your own data, please ensure that they follow exactly the same conventions (e.g., column names, data types, and character values for the "suitability" and "season" columns).

# find file path for species habitat preference data
 spp_habitat_path <- system.file(
@@ -250,52 +250,51 @@ 

Tutorial

# preview data print(spp_habitat_data, n = Inf)
-
## # A tibble: 43 × 6
+
## # A tibble: 42 × 6
 ##    id_no  code habitat                        suitability season majorimportance
 ##    <int> <dbl> <chr>                          <chr>       <chr>  <lgl>          
-##  1   932   1.4 Forest - Temperate             Suitable    Resid… NA             
-##  2   932   2.1 Savanna - Dry                  Suitable    Resid… NA             
-##  3   932  14.2 Pastureland                    Suitable    Resid… NA             
-##  4  3032   1.4 Forest - Temperate             Suitable    Resid… NA             
-##  5  3032   4   Grassland                      Suitable    Resid… NA             
-##  6  3032  14.5 Urban Areas                    Suitable    Resid… NA             
-##  7  3046   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-##  8  3046   5   Wetlands (inland)              Suitable    Resid… NA             
-##  9  3046   2.1 Savanna - Dry                  Suitable    Resid… NA             
-## 10  3046   3.5 Shrubland - Subtropical/tropi… Suitable    Non-b… NA             
-## 11  3046   1.4 Forest - Temperate             Suitable    Non-b… NA             
-## 12  3046  14.2 Pastureland                    Suitable    Non-b… NA             
-## 13  3046  14.1 Arable Land                    Suitable    Passa… NA             
-## 14  3046   5.5 Wetlands (inland) - Permanent… Suitable    Passa… NA             
-## 15  3046   5   Wetlands (inland)              Suitable    Passa… NA             
-## 16  3255   4.4 Grassland - Temperate          Suitable    Resid… NA             
-## 17  3255   5.5 Wetlands (inland) - Permanent… Suitable    Resid… NA             
-## 18  3255   2.1 Savanna - Dry                  Suitable    Resid… NA             
-## 19  4008   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 20  4008   4.5 Grassland - Subtropical/tropi… Suitable    Resid… NA             
-## 21  4008   6   Rocky Areas (e.g., inland cli… Suitable    Resid… NA             
-## 22  4785   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 23  4785   5   Wetlands (inland)              Suitable    Resid… NA             
-## 24  4973   3.4 Shrubland - Temperate          Suitable    Resid… NA             
-## 25  4973   1.4 Forest - Temperate             Suitable    Resid… NA             
-## 26  4973  14.2 Pastureland                    Suitable    Resid… NA             
-## 27  5854   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 28  5854   2.1 Savanna - Dry                  Suitable    Resid… NA             
-## 29  5854   5   Wetlands (inland)              Suitable    Resid… NA             
-## 30  6068   3.8 Shrubland - Mediterranean-typ… Suitable    Resid… NA             
-## 31  6068   6   Rocky Areas (e.g., inland cli… Suitable    Resid… NA             
-## 32  6068   4   Grassland                      Suitable    Resid… NA             
-## 33  6678   4.4 Grassland - Temperate          Suitable    Resid… NA             
-## 34  6678   1.5 Forest - Subtropical/tropical… Suitable    Resid… NA             
-## 35  6678   3.5 Shrubland - Subtropical/tropi… Suitable    Resid… NA             
-## 36  6678   3.8 Shrubland - Mediterranean-typ… Suitable    Breed… NA             
-## 37  6678   3.5 Shrubland - Subtropical/tropi… Suitable    Breed… NA             
-## 38  6678  14.2 Pastureland                    Suitable    Breed… NA             
-## 39  6678  14.5 Urban Areas                    Suitable    Non-b… NA             
-## 40  6678   5   Wetlands (inland)              Suitable    Non-b… NA             
-## 41  6678  14.5 Urban Areas                    Suitable    Passa… NA             
-## 42  6678   3.8 Shrubland - Mediterranean-typ… Suitable    Passa… NA             
-## 43  6678   5.5 Wetlands (inland) - Permanent… Suitable    Passa… NA
+## 1 670 14.5 Urban Areas Suitable Breed… NA +## 2 670 14.2 Pastureland Suitable Breed… NA +## 3 670 4.4 Grassland - Temperate Suitable Non-b… NA +## 4 670 3.5 Shrubland - Subtropical/tropi… Suitable Non-b… NA +## 5 670 6 Rocky Areas (e.g., inland cli… Suitable Non-b… NA +## 6 670 1.5 Forest - Subtropical/tropical… Suitable Passa… NA +## 7 670 3.8 Shrubland - Mediterranean-typ… Suitable Passa… NA +## 8 670 3.4 Shrubland - Temperate Suitable Passa… NA +## 9 2072 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 10 2072 1.4 Forest - Temperate Suitable Resid… NA +## 11 2072 2.1 Savanna - Dry Suitable Resid… NA +## 12 2374 4.4 Grassland - Temperate Suitable Resid… NA +## 13 2374 2.1 Savanna - Dry Suitable Resid… NA +## 14 2374 14.5 Urban Areas Suitable Resid… NA +## 15 3667 1.4 Forest - Temperate Suitable Resid… NA +## 16 3667 3.5 Shrubland - Subtropical/tropi… Suitable Resid… NA +## 17 3667 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 18 4421 3.5 Shrubland - Subtropical/tropi… Suitable Resid… NA +## 19 4421 4.4 Grassland - Temperate Suitable Resid… NA +## 20 4650 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 21 4650 4.4 Grassland - Temperate Suitable Resid… NA +## 22 4650 14.5 Urban Areas Suitable Resid… NA +## 23 5808 14.5 Urban Areas Suitable Resid… NA +## 24 5808 14.1 Arable Land Suitable Resid… NA +## 25 5808 14.2 Pastureland Suitable Resid… NA +## 26 5808 3.8 Shrubland - Mediterranean-typ… Suitable Breed… NA +## 27 5808 4.1 Grassland - Tundra Suitable Breed… NA +## 28 5808 2.1 Savanna - Dry Suitable Breed… NA +## 29 5808 14.1 Arable Land Suitable Non-b… NA +## 30 5808 5.5 Wetlands (inland) - Permanent… Suitable Non-b… NA +## 31 5808 3.8 Shrubland - Mediterranean-typ… Suitable Passa… NA +## 32 5808 5.5 Wetlands (inland) - Permanent… Suitable Passa… NA +## 33 5808 4 Grassland Suitable Passa… NA +## 34 6701 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 35 6701 5.5 Wetlands (inland) - Permanent… Suitable Resid… NA +## 36 6701 4.1 Grassland - Tundra Suitable Resid… NA +## 37 8110 3.8 Shrubland - Mediterranean-typ… Suitable Resid… NA +## 38 8110 1.4 Forest - Temperate Suitable Resid… NA +## 39 8110 14.5 Urban Areas Suitable Resid… NA +## 40 8644 3.4 Shrubland - Temperate Suitable Resid… NA +## 41 8644 14.5 Urban Areas Suitable Resid… NA +## 42 8644 5 Wetlands (inland) Suitable Resid… NA

Next, we will import data to describe the species’ elevational limits. Although such data would be automatically obtained from the IUCN Red List by default (using the get_spp_summary_data() function), here we will import example data distributed with the package. As before, please note that these data were not obtained from the IUCN Red List, and were randomly generated. Since the dataset contains additional columns that aren’t strictly necessary, we will also update it to include only necessary columns. If you wish to use your own data, please ensure that they follow the same conventions (e.g., column names, data types).

# find file path for species habitat preference data
 spp_summary_path <- system.file(
@@ -315,16 +314,16 @@ 

Tutorial

## # A tibble: 10 × 4
 ##    id_no elevation_lower elevation_upper category
 ##    <int>           <int>           <int> <chr>   
-##  1   932              76             830 NT      
-##  2  3032              36             999 EN      
-##  3  3046              23             874 EN      
-##  4  3255              90            1050 VU      
-##  5  4008              38             933 EN      
-##  6  4785              45             942 EN      
-##  7  4973              43            1058 EN      
-##  8  5854              45            1018 EN      
-##  9  6068             335            1052 NT      
-## 10  6678              32            1017 EN
+## 1 670 82 942 LC +## 2 2072 46 907 NT +## 3 2374 65 1020 VU +## 4 3667 15 598 EN +## 5 4421 85 949 VU +## 6 4650 54 951 NT +## 7 5808 91 974 VU +## 8 6701 221 1069 EN +## 9 8110 75 991 VU +## 10 8644 182 1183 LC

After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the "id_no" column values are used to denote different taxa—meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named "Simulus spp. 932" has an identifier ("id_no" value) of 932, and this identifier is used to denote its range in the spp_range_data dataset, its habitat preferences in the spp_habitat_data dataset, and its elevational limits in the spp_summary_data dataset. We can verify that each of the species have the required information across all three datasets using the following code.

# verify all identifiers in range data are present in habitat preference data
 ## if we see TRUE: then this means both datasets have the same taxa identifiers
@@ -376,9 +375,9 @@ 

Tutorial

## extent : -929631, 338369, 4289077, 5081077 (xmin, xmax, ymin, ymax) ## coord. ref. : World_Behrmann ## source : sim_habitat_data.tif -## name : jung-10-5281_zenodo-4058819 -## min value : 104 -## max value : 1405
+## name : jung-lvl2-10-5281_zenodo-4058819 +## min value : 104 +## max value : 1405
# visualize data
 plot(habitat_data, main = "Habitat classification data")

@@ -544,60 +543,60 @@

Tutorial

## Simple feature collection with 15 features and 8 fields
 ## Geometry type: MULTIPOLYGON
 ## Dimension:     XY
-## Bounding box:  xmin: -916330.2 ymin: 4303624 xmax: 320141.5 ymax: 5069358
+## Bounding box:  xmin: -916330.2 ymin: 4304151 xmax: 320141.5 ymax: 5069358
 ## Projected CRS: World_Behrmann
 ## # A tibble: 15 × 9
 ##    id_no binomial          category migratory seasonal
 ##    <int> <chr>             <chr>    <lgl>        <int>
-##  1   932 Simulus spp. 932  NT       FALSE            1
-##  2  3032 Simulus spp. 3032 EN       FALSE            1
-##  3  3046 Simulus spp. 3046 EN       TRUE             1
-##  4  3046 Simulus spp. 3046 EN       TRUE             3
-##  5  3046 Simulus spp. 3046 EN       TRUE             4
-##  6  3255 Simulus spp. 3255 VU       FALSE            1
-##  7  4008 Simulus spp. 4008 EN       FALSE            1
-##  8  4785 Simulus spp. 4785 EN       FALSE            1
-##  9  4973 Simulus spp. 4973 EN       FALSE            1
-## 10  5854 Simulus spp. 5854 EN       FALSE            1
-## 11  6068 Simulus spp. 6068 NT       FALSE            1
-## 12  6678 Simulus spp. 6678 EN       TRUE             1
-## 13  6678 Simulus spp. 6678 EN       TRUE             2
-## 14  6678 Simulus spp. 6678 EN       TRUE             3
-## 15  6678 Simulus spp. 6678 EN       TRUE             4
-##    full_habitat_code           elevation_lower elevation_upper
-##    <chr>                                 <dbl>           <dbl>
-##  1 1.4|2.1|14.2                             76             830
-##  2 1.4|4|14.5                               36             999
-##  3 1.4|2.1|3.5|3.8|5|14.2                   23             874
-##  4 1.4|2.1|3.5|3.8|5|14.2                   23             874
-##  5 2.1|3.8|5|5.5|14.1                       23             874
-##  6 2.1|4.4|5.5                              90            1050
-##  7 3.8|4.5|6                                38             933
-##  8 3.8|5                                    45             942
-##  9 1.4|3.4|14.2                             43            1058
-## 10 2.1|3.8|5                                45            1018
-## 11 3.8|4|6                                 335            1052
-## 12 1.5|3.5|3.8|4.4|5|14.2|14.5              32            1017
-## 13 1.5|3.5|3.8|4.4|14.2                     32            1017
-## 14 1.5|3.5|4.4|5|14.5                       32            1017
-## 15 1.5|3.5|3.8|4.4|5.5|14.5                 32            1017
+##  1   670 Simulus spp. 670  LC       TRUE             2
+##  2   670 Simulus spp. 670  LC       TRUE             3
+##  3   670 Simulus spp. 670  LC       TRUE             4
+##  4  2072 Simulus spp. 2072 NT       FALSE            1
+##  5  2374 Simulus spp. 2374 VU       FALSE            1
+##  6  3667 Simulus spp. 3667 EN       FALSE            1
+##  7  4421 Simulus spp. 4421 VU       FALSE            1
+##  8  4650 Simulus spp. 4650 NT       FALSE            1
+##  9  5808 Simulus spp. 5808 VU       TRUE             1
+## 10  5808 Simulus spp. 5808 VU       TRUE             2
+## 11  5808 Simulus spp. 5808 VU       TRUE             3
+## 12  5808 Simulus spp. 5808 VU       TRUE             4
+## 13  6701 Simulus spp. 6701 EN       FALSE            1
+## 14  8110 Simulus spp. 8110 VU       FALSE            1
+## 15  8644 Simulus spp. 8644 LC       FALSE            1
+##    full_habitat_code              elevation_lower elevation_upper
+##    <chr>                                    <dbl>           <dbl>
+##  1 14.2|14.5                                   82             942
+##  2 3.5|4.4|6                                   82             942
+##  3 1.5|3.4|3.8                                 82             942
+##  4 1.4|2.1|3.8                                 46             907
+##  5 2.1|4.4|14.5                                65            1020
+##  6 1.4|3.5|3.8                                 15             598
+##  7 3.5|4.4                                     85             949
+##  8 3.8|4.4|14.5                                54             951
+##  9 2.1|3.8|4.1|5.5|14.1|14.2|14.5              91             974
+## 10 2.1|3.8|4.1|14.1|14.2|14.5                  91             974
+## 11 5.5|14.1|14.2|14.5                          91             974
+## 12 3.8|4|5.5|14.1|14.2|14.5                    91             974
+## 13 3.8|4.1|5.5                                221            1069
+## 14 1.4|3.8|14.5                                75             991
+## 15 3.4|5|14.5                                 182            1183
 ##                                                                         geometry
 ##                                                               <MULTIPOLYGON [m]>
-##  1 (((-258785.9 4373975, -259388.9 4373961, -259722.7 4374219, -259763.3 437477…
-##  2 (((-898611.5 4581120, -898487 4582068, -898568 4583427, -898710.8 4584912, -…
-##  3 (((-543217.8 4306838, -544040.8 4307238, -530044.5 4307493, -536345 4305531,…
-##  4 (((-702794.5 5010491, -697534.1 5010700, -691796 5010701, -686526.9 5010497,…
-##  5 (((-846570.6 4526624, -846956.6 4532064, -847632 4538406, -848596.8 4543939,…
-##  6 (((-115783.5 4463875, -117192.2 4464336, -117012.8 4464393, -116300.7 446450…
-##  7 (((-714770.4 4422914, -716314.1 4423936, -718436.8 4424446, -720656 4424446,…
-##  8 (((-916330.2 4589149, -915847.8 4590048, -914689.9 4591247, -912277.8 459314…
-##  9 (((-892701.7 4574681, -892524.1 4574097, -892787.6 4574644, -892701.7 457468…
-## 10 (((-563984.5 4317153, -563311 4316652, -562879.7 4316319, -562663.6 4316639,…
-## 11 (((-397539.9 4378952, -397571.7 4379918, -397867 4380162, -398408.3 4379839,…
-## 12 (((-284154 4390088, -283822.1 4400898, -283286.6 4407321, -282607.3 4409338,…
-## 13 (((-397731.9 5034174, -397592 5032000, -397489.7 5029929, -397567.9 5028348,…
-## 14 (((-617519.9 4370854, -616907.2 4370821, -616553.1 4371304, -616493.3 437237…
-## 15 (((-715059.8 4425263, -714866.9 4424855, -714577.4 4424446, -713998.5 442434…
+## 1 (((-744167.8 5065733, -744758.3 5065030, -745429.8 5064437, -745619 5064063,… +## 2 (((27902.87 4746365, 27056.68 4747482, 26787.49 4748880, 27030.63 4750311, 2… +## 3 (((-463308.8 4832969, -462721.2 4833049, -461995.6 4833183, -461258.5 483323… +## 4 (((-415672.5 4377074, -416862.2 4377160, -416399.1 4377219, -415731.4 437712… +## 5 (((-568331.2 4328892, -568572.4 4330309, -568690.1 4331566, -568471.1 433245… +## 6 (((-598890.3 4658362, -599068.8 4657037, -598638.5 4656082, -597329.2 465567… +## 7 (((-862522.7 4407131, -862193.7 4407172, -862201.4 4407165, -862640.4 440702… +## 8 (((-613250.4 4368112, -611865.8 4368219, -610831.5 4368152, -610384.8 436778… +## 9 (((-604205.8 4355480, -604258.8 4354866, -604481.7 4354214, -604629.3 435369… +## 10 (((-214939.6 4390035, -213485.5 4389897, -212252.4 4389503, -211509.5 438892… +## 11 (((-712163.3 4853217, -712938.1 4854392, -714015.8 4854814, -715276.9 485473… +## 12 (((-853538.9 4415882, -853532.1 4415239, -853670.1 4414456, -853800.3 441371… +## 13 (((-501888.8 5040197, -501188.3 5040426, -500444.4 5040511, -499781.6 504024… +## 14 (((-259653.3 4377133, -259650.4 4376545, -259928.2 4375843, -260216.7 437513… +## 15 (((166524.7 4944201, 165755.7 4943358, 165117 4942089, 164815 4940646, 16505…

Next, we can generate the Area of Habitat data.

# specify folder to save Area of Habitat data
 ## although we use a temporary directory here to avoid polluting your computer
@@ -636,77 +635,77 @@ 

Tutorial

## Simple feature collection with 15 features and 14 fields
 ## Geometry type: MULTIPOLYGON
 ## Dimension:     XY
-## Bounding box:  xmin: -916330.2 ymin: 4303624 xmax: 320141.5 ymax: 5069358
+## Bounding box:  xmin: -916330.2 ymin: 4304151 xmax: 320141.5 ymax: 5069358
 ## Projected CRS: World_Behrmann
 ## # A tibble: 15 × 15
 ##    id_no binomial          category migratory seasonal
 ##  * <int> <chr>             <chr>    <lgl>        <int>
-##  1   932 Simulus spp. 932  NT       FALSE            1
-##  2  3032 Simulus spp. 3032 EN       FALSE            1
-##  3  3046 Simulus spp. 3046 EN       TRUE             1
-##  4  3046 Simulus spp. 3046 EN       TRUE             3
-##  5  3046 Simulus spp. 3046 EN       TRUE             4
-##  6  3255 Simulus spp. 3255 VU       FALSE            1
-##  7  4008 Simulus spp. 4008 EN       FALSE            1
-##  8  4785 Simulus spp. 4785 EN       FALSE            1
-##  9  4973 Simulus spp. 4973 EN       FALSE            1
-## 10  5854 Simulus spp. 5854 EN       FALSE            1
-## 11  6068 Simulus spp. 6068 NT       FALSE            1
-## 12  6678 Simulus spp. 6678 EN       TRUE             1
-## 13  6678 Simulus spp. 6678 EN       TRUE             2
-## 14  6678 Simulus spp. 6678 EN       TRUE             3
-## 15  6678 Simulus spp. 6678 EN       TRUE             4
-##    full_habitat_code           habitat_code                elevation_lower
-##  * <chr>                       <chr>                                 <dbl>
-##  1 1.4|2.1|14.2                1.4|2.1|14.2                             76
-##  2 1.4|4|14.5                  1.4|4|14.5                               36
-##  3 1.4|2.1|3.5|3.8|5|14.2      1.4|2.1|3.5|3.8|5|14.2                   23
-##  4 1.4|2.1|3.5|3.8|5|14.2      1.4|2.1|3.5|3.8|5|14.2                   23
-##  5 2.1|3.8|5|5.5|14.1          2.1|3.8|5|5.5|14.1                       23
-##  6 2.1|4.4|5.5                 2.1|4.4|5.5                              90
-##  7 3.8|4.5|6                   3.8|4.5|6                                38
-##  8 3.8|5                       3.8|5                                    45
-##  9 1.4|3.4|14.2                1.4|3.4|14.2                             43
-## 10 2.1|3.8|5                   2.1|3.8|5                                45
-## 11 3.8|4|6                     3.8|4|6                                 335
-## 12 1.5|3.5|3.8|4.4|5|14.2|14.5 1.5|3.5|3.8|4.4|5|14.2|14.5              32
-## 13 1.5|3.5|3.8|4.4|14.2        1.5|3.5|3.8|4.4|14.2                     32
-## 14 1.5|3.5|4.4|5|14.5          1.5|3.5|4.4|5|14.5                       32
-## 15 1.5|3.5|3.8|4.4|5.5|14.5    1.5|3.5|3.8|4.4|5.5|14.5                 32
+##  1   670 Simulus spp. 670  LC       TRUE             2
+##  2   670 Simulus spp. 670  LC       TRUE             3
+##  3   670 Simulus spp. 670  LC       TRUE             4
+##  4  2072 Simulus spp. 2072 NT       FALSE            1
+##  5  2374 Simulus spp. 2374 VU       FALSE            1
+##  6  3667 Simulus spp. 3667 EN       FALSE            1
+##  7  4421 Simulus spp. 4421 VU       FALSE            1
+##  8  4650 Simulus spp. 4650 NT       FALSE            1
+##  9  5808 Simulus spp. 5808 VU       TRUE             1
+## 10  5808 Simulus spp. 5808 VU       TRUE             2
+## 11  5808 Simulus spp. 5808 VU       TRUE             3
+## 12  5808 Simulus spp. 5808 VU       TRUE             4
+## 13  6701 Simulus spp. 6701 EN       FALSE            1
+## 14  8110 Simulus spp. 8110 VU       FALSE            1
+## 15  8644 Simulus spp. 8644 LC       FALSE            1
+##    full_habitat_code              habitat_code                   elevation_lower
+##  * <chr>                          <chr>                                    <dbl>
+##  1 14.2|14.5                      14.2|14.5                                   82
+##  2 3.5|4.4|6                      3.5|4.4|6                                   82
+##  3 1.5|3.4|3.8                    1.5|3.4|3.8                                 82
+##  4 1.4|2.1|3.8                    1.4|2.1|3.8                                 46
+##  5 2.1|4.4|14.5                   2.1|4.4|14.5                                65
+##  6 1.4|3.5|3.8                    1.4|3.5|3.8                                 15
+##  7 3.5|4.4                        3.5|4.4                                     85
+##  8 3.8|4.4|14.5                   3.8|4.4|14.5                                54
+##  9 2.1|3.8|4.1|5.5|14.1|14.2|14.5 2.1|3.8|4.1|5.5|14.1|14.2|14.5              91
+## 10 2.1|3.8|4.1|14.1|14.2|14.5     2.1|3.8|4.1|14.1|14.2|14.5                  91
+## 11 5.5|14.1|14.2|14.5             5.5|14.1|14.2|14.5                          91
+## 12 3.8|4|5.5|14.1|14.2|14.5       3.8|4|5.5|14.1|14.2|14.5                    91
+## 13 3.8|4.1|5.5                    3.8|4.1|5.5                                221
+## 14 1.4|3.8|14.5                   1.4|3.8|14.5                                75
+## 15 3.4|5|14.5                     3.4|5|14.5                                 182
 ##    elevation_upper    xmin    xmax    ymin    ymax path                      
 ##  *           <dbl>   <dbl>   <dbl>   <dbl>   <dbl> <chr>                     
-##  1             830 -896631  -61631 4373077 5070077 /tmp/Rtmp4jowxs/932_1.tif 
-##  2             999 -902631  -60631 4303077 5070077 /tmp/Rtmp4jowxs/3032_1.tif
-##  3             874 -707631  320369 4305077 5058077 /tmp/Rtmp4jowxs/3046_1.tif
-##  4             874 -734631 -504631 4658077 5011077 /tmp/Rtmp4jowxs/3046_3.tif
-##  5             874 -916631 -708631 4520077 5015077 /tmp/Rtmp4jowxs/3046_4.tif
-##  6            1050 -620631  320369 4304077 5058077 /tmp/Rtmp4jowxs/3255_1.tif
-##  7             933 -916631  116369 4304077 5044077 /tmp/Rtmp4jowxs/4008_1.tif
-##  8             942 -916631  266369 4303077 5070077 /tmp/Rtmp4jowxs/4785_1.tif
-##  9            1058 -910631   65369 4574077 5070077 /tmp/Rtmp4jowxs/4973_1.tif
-## 10            1018 -565631  -96631 4304077 4587077 /tmp/Rtmp4jowxs/5854_1.tif
-## 11            1052 -752631  -66631 4374077 5058077 /tmp/Rtmp4jowxs/6068_1.tif
-## 12            1017 -284631  239369 4373077 4967077 /tmp/Rtmp4jowxs/6678_1.tif
-## 13            1017 -794631 -396631 4901077 5070077 /tmp/Rtmp4jowxs/6678_2.tif
-## 14            1017 -617631 -393631 4304077 4447077 /tmp/Rtmp4jowxs/6678_3.tif
-## 15            1017 -868631 -654631 4404077 4576077 /tmp/Rtmp4jowxs/6678_4.tif
+##  1             942 -896631 -648631 4946077 5067077 /tmp/RtmpTR2H9Y/670_2.tif 
+##  2             942 -417631  320369 4742077 5033077 /tmp/RtmpTR2H9Y/670_3.tif 
+##  3             942 -527631 -312631 4664077 4840077 /tmp/RtmpTR2H9Y/670_4.tif 
+##  4             907 -916631   39369 4328077 5070077 /tmp/RtmpTR2H9Y/2072_1.tif
+##  5            1020 -868631  320369 4304077 5070077 /tmp/RtmpTR2H9Y/2374_1.tif
+##  6             598 -794631 -305631 4334077 4678077 /tmp/RtmpTR2H9Y/3667_1.tif
+##  7             949 -863631   -8631 4400077 5062077 /tmp/RtmpTR2H9Y/4421_1.tif
+##  8             951 -916631  203369 4304077 5070077 /tmp/RtmpTR2H9Y/4650_1.tif
+##  9             974 -621631 -354631 4304077 4456077 /tmp/RtmpTR2H9Y/5808_1.tif
+## 10             974 -375631 -201631 4373077 4519077 /tmp/RtmpTR2H9Y/5808_2.tif
+## 11             974 -771631 -651631 4781077 4861077 /tmp/RtmpTR2H9Y/5808_3.tif
+## 12             974 -868631  275369 4406077 5058077 /tmp/RtmpTR2H9Y/5808_4.tif
+## 13            1069 -896631  -74631 4634077 5070077 /tmp/RtmpTR2H9Y/6701_1.tif
+## 14             991 -868631  291369 4304077 5044077 /tmp/RtmpTR2H9Y/8110_1.tif
+## 15            1183 -402631  183369 4624077 5000077 /tmp/RtmpTR2H9Y/8644_1.tif
 ##                                                                         geometry
 ##  *                                                            <MULTIPOLYGON [m]>
-##  1 (((-258785.9 4373975, -259388.9 4373961, -259722.7 4374219, -259763.3 437477…
-##  2 (((-898611.5 4581120, -898487 4582068, -898568 4583427, -898710.8 4584912, -…
-##  3 (((-543217.8 4306838, -544040.8 4307238, -530044.5 4307493, -536345 4305531,…
-##  4 (((-702794.5 5010491, -697534.1 5010700, -691796 5010701, -686526.9 5010497,…
-##  5 (((-846570.6 4526624, -846956.6 4532064, -847632 4538406, -848596.8 4543939,…
-##  6 (((-115783.5 4463875, -117192.2 4464336, -117012.8 4464393, -116300.7 446450…
-##  7 (((-714770.4 4422914, -716314.1 4423936, -718436.8 4424446, -720656 4424446,…
-##  8 (((-916330.2 4589149, -915847.8 4590048, -914689.9 4591247, -912277.8 459314…
-##  9 (((-892701.7 4574681, -892524.1 4574097, -892787.6 4574644, -892701.7 457468…
-## 10 (((-563984.5 4317153, -563311 4316652, -562879.7 4316319, -562663.6 4316639,…
-## 11 (((-397539.9 4378952, -397571.7 4379918, -397867 4380162, -398408.3 4379839,…
-## 12 (((-284154 4390088, -283822.1 4400898, -283286.6 4407321, -282607.3 4409338,…
-## 13 (((-397731.9 5034174, -397592 5032000, -397489.7 5029929, -397567.9 5028348,…
-## 14 (((-617519.9 4370854, -616907.2 4370821, -616553.1 4371304, -616493.3 437237…
-## 15 (((-715059.8 4425263, -714866.9 4424855, -714577.4 4424446, -713998.5 442434…
+## 1 (((-744167.8 5065733, -744758.3 5065030, -745429.8 5064437, -745619 5064063,… +## 2 (((27902.87 4746365, 27056.68 4747482, 26787.49 4748880, 27030.63 4750311, 2… +## 3 (((-463308.8 4832969, -462721.2 4833049, -461995.6 4833183, -461258.5 483323… +## 4 (((-415672.5 4377074, -416862.2 4377160, -416399.1 4377219, -415731.4 437712… +## 5 (((-568331.2 4328892, -568572.4 4330309, -568690.1 4331566, -568471.1 433245… +## 6 (((-598890.3 4658362, -599068.8 4657037, -598638.5 4656082, -597329.2 465567… +## 7 (((-862522.7 4407131, -862193.7 4407172, -862201.4 4407165, -862640.4 440702… +## 8 (((-613250.4 4368112, -611865.8 4368219, -610831.5 4368152, -610384.8 436778… +## 9 (((-604205.8 4355480, -604258.8 4354866, -604481.7 4354214, -604629.3 435369… +## 10 (((-214939.6 4390035, -213485.5 4389897, -212252.4 4389503, -211509.5 438892… +## 11 (((-712163.3 4853217, -712938.1 4854392, -714015.8 4854814, -715276.9 485473… +## 12 (((-853538.9 4415882, -853532.1 4415239, -853670.1 4414456, -853800.3 441371… +## 13 (((-501888.8 5040197, -501188.3 5040426, -500444.4 5040511, -499781.6 504024… +## 14 (((-259653.3 4377133, -259650.4 4376545, -259928.2 4375843, -260216.7 437513… +## 15 (((166524.7 4944201, 165755.7 4943358, 165117 4942089, 164815 4940646, 16505…

Finally, let’s create some maps to compare the range data with the Area of habitat data. Although we could create these maps manually (e.g., using the ggplot2 R package), we will use a plotting function distributed with the aoh R package for convenience. Although the full dataset contains many species; for brevity, we will only show the first four species’ seasonal distributions.

# create maps
 ## N.B. you might need to install the ggmap package to create the maps
@@ -729,7 +728,7 @@ 

Tutorial

# display maps print(map)
-

+

Conclusion

From fa0073fa16d091b88acdecc9632c3167408fdc4c Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Wed, 24 Jul 2024 12:37:54 +1200 Subject: [PATCH 12/15] update docs --- README.Rmd | 2 +- README.md | 4 - docs/articles/aoh.html | 18 ++-- docs/articles/customization.html | 40 ++++---- .../figure-html/unnamed-chunk-16-1.png | Bin 0 -> 993538 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 141600 -> 443309 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 0 -> 141600 bytes docs/index.html | 91 +++++++++--------- docs/news/index.html | 1 + docs/pkgdown.yml | 2 +- docs/reference/calc_spp_frc_data.html | 14 +-- docs/reference/create_spp_aoh_data.html | 16 +-- docs/reference/create_spp_frc_data.html | 18 ++-- docs/reference/create_spp_info_data.html | 10 +- docs/reference/figures/README-plot_map-1.png | Bin 0 -> 336461 bytes docs/reference/plot_spp_aoh_data.html | 18 ++-- docs/reference/plot_spp_frc_data.html | 20 ++-- docs/reference/simulate_spp_data.html | 4 +- docs/reference/terra_gdal_calc.html | 4 +- docs/reference/terra_gdal_crop.html | 2 +- docs/reference/terra_gdal_project.html | 2 +- inst/doc/aoh.html | 34 +++---- inst/doc/customization.Rmd | 8 +- inst/doc/customization.html | 36 +++---- man/figures/README-plot_map-1.png | Bin 0 -> 336461 bytes vignettes/customization.Rmd | 8 +- 26 files changed, 180 insertions(+), 172 deletions(-) create mode 100644 docs/articles/customization_files/figure-html/unnamed-chunk-16-1.png create mode 100644 docs/articles/customization_files/figure-html/unnamed-chunk-9-1.png create mode 100644 docs/reference/figures/README-plot_map-1.png create mode 100644 man/figures/README-plot_map-1.png diff --git a/README.Rmd b/README.Rmd index f3946610..fdd46037 100644 --- a/README.Rmd +++ b/README.Rmd @@ -180,7 +180,7 @@ print(spp_aoh_rasters) Finally, let's create some maps to compare the range data with the Area of habitat data. -```{r "map", message = FALSE, warning = FALSE, dpi = 200, fig.width = 5.5, fig.height = 4, out.width = ifelse(isTRUE(knitr::is_html_output(excludes = c("markdown"))), "60%", "90%")} +```{r "map", message = FALSE, warning = FALSE, results = "hide", dpi = 200, fig.width = 5.5, fig.height = 4, out.width = ifelse(isTRUE(knitr::is_html_output(excludes = c("markdown"))), "60%", "90%")} # create maps ## N.B. you might need to install the ggmap package map <- diff --git a/README.md b/README.md index 9fe389b6..41ac4f19 100644 --- a/README.md +++ b/README.md @@ -349,11 +349,7 @@ map <- strip.text = element_text(color = "white"), strip.background = element_rect(fill = "black", color = "black") ) -``` - - ## |---------|---------|---------|---------|========================================= -``` r # display maps print(map) ``` diff --git a/docs/articles/aoh.html b/docs/articles/aoh.html index f61d28d2..9d0716d7 100644 --- a/docs/articles/aoh.html +++ b/docs/articles/aoh.html @@ -83,7 +83,7 @@ @@ -317,48 +316,48 @@

Usage

Citation

Please cite the aoh R package and the underlying datasets used to produce Area of Habitat data.

-
Area of Habitat data are created using a range of different datasets.
-Depending on which datasets are used, please cite the aoh package and
-relevant data using:
-
-  Hanson JO (2024) aoh: Create Area of Habitat Data. R package version
-  0.0.2.12. Available at https://github.com/prioritizr/aoh.
-
-  IUCN [insert year] IUCN Red List of Threatened Species. Version
-  [insert version]. Available at www.iucnredlist.org.
-
-  BirdLife International and Handbook of the Birds of the World
-  ([insert year]) Bird species distribution maps of the world. Version
-  [insert version]. Available at
-  https://datazone.birdlife.org/species/requestdis.
-
-  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
-  V, Rondinini C, Visconti P (2020). "A global map of terrestrial
-  habitat types." _Scientific Data_, *7*(1), 256.
-  doi:10.1038/s41597-020-00599-8
-  <https://doi.org/10.1038/s41597-020-00599-8>.
-
-  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
-  V, Rondinini C, and Visconti P (2020b) A global map of terrestrial
-  habitat types (insert version) [Data set]. Zenodo. Available at
-  https://doi.org/10.5281/zenodo.4058819.
-
-  Lumbierres M, Dahal PR, Di Marco M, Butchart SHM, Donald PF,
-  Rondinini C (2021). "Translating habitat class to land cover to map
-  area of habitat of terrestrial vertebrates." _Conservation Biology_,
-  *36*(3), e13851. doi:10.1111/cobi.13851
-  <https://doi.org/10.1111/cobi.13851>.
-
-  Robinson N, Regetz J, Guralnick RP (2014). "EarthEnv-DEM90: A
-  nearly-global, void-free, multi-scale smoothed 90m digital elevation
-  model from fused ASTER and SRTM data." _ISPRS Journal of
-  Photogrammetry and Remote Sensing_, *87*(1), 57-67.
-  doi:10.1016/j.isprsjprs.2013.11.002
-  <https://doi.org/10.1016/j.isprsjprs.2013.11.002>.
-
-To see these entries in BibTeX format, use 'print(<citation>,
-bibtex=TRUE)', 'toBibtex(.)', or set
-'options(citation.bibtex.max=999)'.
+
Area of Habitat data are created using a range of different datasets.
+Depending on which datasets are used, please cite the aoh package and
+relevant data using:
+
+  Hanson JO (2024) aoh: Create Area of Habitat Data. R package version
+  0.0.2.12. Available at https://github.com/prioritizr/aoh.
+
+  IUCN [insert year] IUCN Red List of Threatened Species. Version
+  [insert version]. Available at www.iucnredlist.org.
+
+  BirdLife International and Handbook of the Birds of the World
+  ([insert year]) Bird species distribution maps of the world. Version
+  [insert version]. Available at
+  https://datazone.birdlife.org/species/requestdis.
+
+  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
+  V, Rondinini C, Visconti P (2020). "A global map of terrestrial
+  habitat types." _Scientific Data_, *7*(1), 256.
+  doi:10.1038/s41597-020-00599-8
+  <https://doi.org/10.1038/s41597-020-00599-8>.
+
+  Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos
+  V, Rondinini C, and Visconti P (2020b) A global map of terrestrial
+  habitat types (insert version) [Data set]. Zenodo. Available at
+  https://doi.org/10.5281/zenodo.4058819.
+
+  Lumbierres M, Dahal PR, Di Marco M, Butchart SHM, Donald PF,
+  Rondinini C (2021). "Translating habitat class to land cover to map
+  area of habitat of terrestrial vertebrates." _Conservation Biology_,
+  *36*(3), e13851. doi:10.1111/cobi.13851
+  <https://doi.org/10.1111/cobi.13851>.
+
+  Robinson N, Regetz J, Guralnick RP (2014). "EarthEnv-DEM90: A
+  nearly-global, void-free, multi-scale smoothed 90m digital elevation
+  model from fused ASTER and SRTM data." _ISPRS Journal of
+  Photogrammetry and Remote Sensing_, *87*(1), 57-67.
+  doi:10.1016/j.isprsjprs.2013.11.002
+  <https://doi.org/10.1016/j.isprsjprs.2013.11.002>.
+
+To see these entries in BibTeX format, use 'print(<citation>,
+bibtex=TRUE)', 'toBibtex(.)', or set
+'options(citation.bibtex.max=999)'.
diff --git a/docs/news/index.html b/docs/news/index.html index 3f893350..d878af25 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -65,6 +65,7 @@
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index a36cfb03..3ee4008b 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -4,5 +4,5 @@ pkgdown_sha: ~ articles: aoh: aoh.html customization: customization.html -last_built: 2024-07-23T10:03Z +last_built: 2024-07-24T00:37Z diff --git a/docs/reference/calc_spp_frc_data.html b/docs/reference/calc_spp_frc_data.html index 47865004..c436f8a2 100644 --- a/docs/reference/calc_spp_frc_data.html +++ b/docs/reference/calc_spp_frc_data.html @@ -240,16 +240,16 @@

Examples

#> initializing [1.4s] #> #> cleaning species range data -#> cleaning species range data [1.8s] +#> cleaning species range data [1.9s] #> #> importing species summary data -#> importing species summary data [459ms] +#> importing species summary data [468ms] #> #> importing species habitat data -#> importing species habitat data [334ms] +#> importing species habitat data [343ms] #> #> collating species data -#> collating species data [155ms] +#> collating species data [171ms] #> #> post-processing results #> post-processing results [11ms] @@ -267,12 +267,12 @@

Examples

#> initializing [5ms] #> #> importing global elevation data -#> importing global elevation data [7.5s] +#> importing global elevation data [7.1s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.4s] +#> importing global habitat data [5.3s] #> #> generating Area of Habitat data #> processing ■■■■■■■■■ [ 25% | ETA: 11s] @@ -296,7 +296,7 @@

Examples

cache_dir = cache_dir ) #> importing global habitat data -#> importing global habitat data [5.9s] +#> importing global habitat data [5.5s] #> # } diff --git a/docs/reference/create_spp_aoh_data.html b/docs/reference/create_spp_aoh_data.html index 3436250c..20ecf9a2 100644 --- a/docs/reference/create_spp_aoh_data.html +++ b/docs/reference/create_spp_aoh_data.html @@ -408,22 +408,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [348ms] +#> initializing [346ms] #> #> cleaning species range data -#> cleaning species range data [3.2s] +#> cleaning species range data [3s] #> #> importing species summary data -#> importing species summary data [338ms] +#> importing species summary data [351ms] #> #> importing species habitat data -#> importing species habitat data [336ms] +#> importing species habitat data [342ms] #> #> collating species data -#> collating species data [216ms] +#> collating species data [204ms] #> #> post-processing results -#> post-processing results [11ms] +#> post-processing results [10ms] #> #> finished @@ -439,7 +439,7 @@

Examples

#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [6.9s] +#> importing global elevation data [7.2s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" @@ -448,7 +448,7 @@

Examples

#> #> generating Area of Habitat data #> skipping 4 species distributions already processed -#> generating Area of Habitat data [33ms] +#> generating Area of Habitat data [32ms] #> #> post-processing results #> post-processing results [11ms] diff --git a/docs/reference/create_spp_frc_data.html b/docs/reference/create_spp_frc_data.html index 28b18002..db4208e0 100644 --- a/docs/reference/create_spp_frc_data.html +++ b/docs/reference/create_spp_frc_data.html @@ -445,22 +445,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [341ms] +#> initializing [344ms] #> #> cleaning species range data -#> cleaning species range data [3.1s] +#> cleaning species range data [3s] #> #> importing species summary data -#> importing species summary data [339ms] +#> importing species summary data [351ms] #> #> importing species habitat data -#> importing species habitat data [336ms] +#> importing species habitat data [342ms] #> #> collating species data -#> collating species data [216ms] +#> collating species data [205ms] #> #> post-processing results -#> post-processing results [11ms] +#> post-processing results [10ms] #> #> finished @@ -473,7 +473,7 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [5ms] +#> initializing [4ms] #> #> importing global elevation data #> importing global elevation data [7.5s] @@ -481,11 +481,11 @@

Examples

#> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.3s] +#> importing global habitat data [4.8s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed -#> generating Area of Habitat data [32ms] +#> generating Area of Habitat data [33ms] #> #> post-processing results #> post-processing results [32ms] diff --git a/docs/reference/create_spp_info_data.html b/docs/reference/create_spp_info_data.html index ca2935c0..daef657e 100644 --- a/docs/reference/create_spp_info_data.html +++ b/docs/reference/create_spp_info_data.html @@ -482,22 +482,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [343ms] +#> initializing [345ms] #> #> cleaning species range data #> cleaning species range data [3s] #> #> importing species summary data -#> importing species summary data [338ms] +#> importing species summary data [345ms] #> #> importing species habitat data -#> importing species habitat data [336ms] +#> importing species habitat data [343ms] #> #> collating species data -#> collating species data [218ms] +#> collating species data [204ms] #> #> post-processing results -#> post-processing results [12ms] +#> post-processing results [10ms] #> #> finished # } diff --git a/docs/reference/figures/README-plot_map-1.png b/docs/reference/figures/README-plot_map-1.png new file mode 100644 index 0000000000000000000000000000000000000000..883fd8afb7a392a7de118cbc2379ff71fe0a279b GIT binary patch literal 336461 zcmd?RcRbbq|37>v92rrP>{F8LvNtCqBP%;Qo6KXEc~E4B?1*G%WskDSPO=FhWRrb8 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zO1}@_2^|Sk!4J^l{r>CKc-8TRus$PW{Uf)4t)a}jsUzNz$C!OirG`0^Q(i-!B6#wpp%=IZt9mqEE_1+M$fH?w`w zZesMx3J(v5+V7fnK@kTQNa7{QZA}ml_&VMAB(@Sj5#GXn0lfT1B!Ky<9{d8t zncJ0rkMbAo06wbVnDMJq6Y5`$aMy$%)N7+7TDVK3#wi!#A4X{Z?>*`N?)cLAi2wS& wdLlJ``F}OE|G)jue`$9sbx2abBzj*;9St?(dG6~WM2k+Lqp7b^hOI*X0SWH$Examples cache_dir = cache_dir ) #> initializing -#> initializing [393ms] +#> initializing [340ms] #> #> cleaning species range data -#> cleaning species range data [3.3s] +#> cleaning species range data [3.4s] #> #> importing species summary data -#> importing species summary data [333ms] +#> importing species summary data [339ms] #> #> importing species habitat data -#> importing species habitat data [325ms] +#> importing species habitat data [329ms] #> #> collating species data -#> collating species data [215ms] +#> collating species data [222ms] #> #> post-processing results #> post-processing results [10ms] @@ -195,19 +195,19 @@

Examples

#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [7.6s] +#> importing global elevation data [6.9s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [4.8s] +#> importing global habitat data [5.2s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed -#> generating Area of Habitat data [32ms] +#> generating Area of Habitat data [37ms] #> #> post-processing results -#> post-processing results [11ms] +#> post-processing results [13ms] #> #> finished diff --git a/docs/reference/plot_spp_frc_data.html b/docs/reference/plot_spp_frc_data.html index 9cb06d34..e2d101d0 100644 --- a/docs/reference/plot_spp_frc_data.html +++ b/docs/reference/plot_spp_frc_data.html @@ -167,22 +167,22 @@

Examples

cache_dir = cache_dir ) #> initializing -#> initializing [331ms] +#> initializing [336ms] #> #> cleaning species range data -#> cleaning species range data [3.4s] +#> cleaning species range data [3.3s] #> #> importing species summary data -#> importing species summary data [342ms] +#> importing species summary data [334ms] #> #> importing species habitat data -#> importing species habitat data [324ms] +#> importing species habitat data [332ms] #> #> collating species data -#> collating species data [235ms] +#> collating species data [220ms] #> #> post-processing results -#> post-processing results [11ms] +#> post-processing results [10ms] #> #> finished @@ -198,16 +198,16 @@

Examples

#> initializing [4ms] #> #> importing global elevation data -#> importing global elevation data [7.5s] +#> importing global elevation data [6.9s] #> #> importing global habitat data #> ! argument to "crosswalk_data" is missing the following 2 habitat classification codes: "7.1", "7.2" #> importing global habitat data -#> importing global habitat data [5.2s] +#> importing global habitat data [4.9s] #> #> generating Area of Habitat data #> skipping 4 species distributions already processed -#> generating Area of Habitat data [32ms] +#> generating Area of Habitat data [34ms] #> #> post-processing results #> post-processing results [32ms] @@ -223,7 +223,7 @@

Examples

) #> importing global habitat data #> skipping 4 species distributions already processed -#> importing global habitat data [5.5s] +#> importing global habitat data [5.4s] #> # plot the data to visualize the range maps and fractional coverage data p <- plot_spp_frc_data(spp_frc_data) diff --git a/docs/reference/simulate_spp_data.html b/docs/reference/simulate_spp_data.html index 1e19de63..09a635ab 100644 --- a/docs/reference/simulate_spp_data.html +++ b/docs/reference/simulate_spp_data.html @@ -250,10 +250,10 @@

Examples

n = 5, boundary_data = boundary_data, cache_dir = download_dir ) #> importing global elevation data -#> importing global elevation data [7.4s] +#> importing global elevation data [7.2s] #> #> importing global habitat data -#> importing global habitat data [45s] +#> importing global habitat data [44.8s] #> # preview species range data diff --git a/docs/reference/terra_gdal_calc.html b/docs/reference/terra_gdal_calc.html index 2bae23ce..095fc88e 100644 --- a/docs/reference/terra_gdal_calc.html +++ b/docs/reference/terra_gdal_calc.html @@ -233,7 +233,7 @@

Examples

# run calculation y <- terra_gdal_calc(x, "(X < 20) * 1") -#> System command: gdal_calc.py -X "/tmp/Rtmpfor5XR/file305317c662bc9.tif" --outfile="/tmp/Rtmpfor5XR/file305312388a802.tif" --calc="(X < 20) * 1" --type="Float32" --co="NUM_THREADS=1" --co="COMPRESS=LZW" --co="PREDICTOR=1" +#> System command: gdal_calc.py -X "/tmp/RtmpMWqE49/file354221a7b45e6.tif" --outfile="/tmp/RtmpMWqE49/file354227be0f154.tif" --calc="(X < 20) * 1" --type="Float32" --co="NUM_THREADS=1" --co="COMPRESS=LZW" --co="PREDICTOR=1" # preview result
print(y) @@ -242,7 +242,7 @@

Examples

#> resolution : 0.5, 0.5 (x, y) #> extent : -110, -90, 40, 60 (xmin, xmax, ymin, ymax) #> coord. ref. : lon/lat WGS 84 (EPSG:4326) -#> source : file305312388a802.tif +#> source : file354227be0f154.tif #> name : lyr.1 # }
diff --git a/docs/reference/terra_gdal_crop.html b/docs/reference/terra_gdal_crop.html index e715c7e6..85543d82 100644 --- a/docs/reference/terra_gdal_crop.html +++ b/docs/reference/terra_gdal_crop.html @@ -184,7 +184,7 @@

Examples

#> resolution : 0.5, 0.5 (x, y) #> extent : -105, -92.5, 41, 58.5 (xmin, xmax, ymin, ymax) #> coord. ref. : lon/lat WGS 84 (EPSG:4326) -#> source : file30531b7fcfc0.tif +#> source : file354221288aec8.tif #> name : lyr.1
diff --git a/docs/reference/terra_gdal_project.html b/docs/reference/terra_gdal_project.html index 52f7a20d..4a697b5d 100644 --- a/docs/reference/terra_gdal_project.html +++ b/docs/reference/terra_gdal_project.html @@ -194,7 +194,7 @@

Examples

#> resolution : 19999.99, 20000 (x, y) #> extent : -944881, 935118, 4664377, 7144377 (xmin, xmax, ymin, ymax) #> coord. ref. : +proj=lcc +lat_0=0 +lon_0=-100 +lat_1=48 +lat_2=33 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs -#> source : file305312576eda7.tif +#> source : file354226d32e688.tif #> name : lyr.1 diff --git a/inst/doc/aoh.html b/inst/doc/aoh.html index d7304c86..e871b8f7 100644 --- a/inst/doc/aoh.html +++ b/inst/doc/aoh.html @@ -11,7 +11,7 @@ - + Getting started @@ -169,7 +169,7 @@

Getting started

-

2024-07-23

+

2024-07-24

@@ -282,10 +282,10 @@

Tutorial

## # A tibble: 4 × 5 ## id_no binomial seasonal path geometry ## <dbl> <chr> <int> <chr> <POLYGON [m]> -## 1 979 Alytes dickhilleni 1 /tmp/RtmpTR2H9… ((-105506.8 4465112, -10… -## 2 59448 Calotriton asper 1 /tmp/RtmpTR2H9… ((-238681 5029057, -2377… -## 3 4657 Chioglossa lusitanica 1 /tmp/RtmpTR2H9… ((-859201.6 4559278, -85… -## 4 58622 Rana iberica 1 /tmp/RtmpTR2H9… ((-849801.9 4614149, -84… +## 1 979 Alytes dickhilleni 1 /tmp/Rtmp082JE… ((-105506.8 4465112, -10… +## 2 59448 Calotriton asper 1 /tmp/Rtmp082JE… ((-238681 5029057, -2377… +## 3 4657 Chioglossa lusitanica 1 /tmp/Rtmp082JE… ((-859201.6 4559278, -85… +## 4 58622 Rana iberica 1 /tmp/Rtmp082JE… ((-849801.9 4614149, -84…

After generating the Area of Habitat data, we can import them.

# import the Area of Habitat data
 ## since the data for each species have a different spatial extent
@@ -340,7 +340,7 @@ 

Tutorial

We can see that the Area of Habitat data for each species are stored in separate spatial (raster) datasets with different extents. Although this is useful because it drastically reduces the total size of the data for each species, it can make it difficult to work with data for multiple species. To address this, we can use the terra_combine() function to automatically align and combine the spatial data for all species’ distributions into a single spatial dataset.

# combine raster data
 spp_aoh_rasters <- terra_combine(spp_aoh_rasters)
-
## |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|================                                          
+
## |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|=====================                                          
# assign identifiers to layer names
 names(spp_aoh_rasters) <- paste0(
   "AOH_", spp_aoh_data$id_no, "_", spp_aoh_data$seasonal
@@ -353,10 +353,10 @@ 

Tutorial

## resolution : 100, 100 (x, y) ## extent : -914731, 318669, 4364377, 5066777 (xmin, xmax, ymin, ymax) ## coord. ref. : World_Behrmann -## sources : spat_30e2f660c336b_200239.tif -## spat_30e2f6fa2518_200239.tif -## spat_30e2f41f64d80_200239.tif -## spat_30e2f5c266dd2_200239.tif +## sources : spat_375a778280b16_226727.tif +## spat_375a74374bba2_226727.tif +## spat_375a71d7f31cf_226727.tif +## spat_375a73a85bf39_226727.tif ## varnames : 979_1 ## 59448_1 ## 4657_1 @@ -381,10 +381,10 @@

Tutorial

axis.text = element_text(size = 6), strip.text = element_text(color = "white"), strip.background = element_rect(fill = "black", color = "black") - )
-
## |---------|---------|---------|---------|=========================================                                          
-
# display maps
-print(map)
+ ) + +# display maps +print(map)

@@ -398,8 +398,8 @@

Frequently asked questions

Please open the .Renviron file on your computer (e.g., using usethis::edit_r_environ()). Next, please add the following text to the file (replacing the string with the token) and save the file:

IUCN_REDLIST_KEY="your_actual_token_not_this_string"

Please restart your R session. You should now be able to access the IUCN Red List API. To verify this, please try running the following R code and – assuming everything works correctly – you should see the current version of the IUCN Red List:

-
# verify access to IUCN Red List API
-rredlist::rl_version()
+
# verify access to IUCN Red List API
+rredlist::rl_version()

If these instructions did not work, please consult the documentation for the rredlist R package for further details.

  • Where can I find species range data for generating Area of Habitat data?

    Species range data can be obtained from the IUCN Red List (see Spatial Data Download resources). They can also be obtained from other data sources (see the question below for details).

  • diff --git a/inst/doc/customization.Rmd b/inst/doc/customization.Rmd index ada22e5f..9ea29dca 100644 --- a/inst/doc/customization.Rmd +++ b/inst/doc/customization.Rmd @@ -102,7 +102,13 @@ spp_summary_data <- spp_summary_data[, col_names, drop = FALSE] print(spp_summary_data, n = Inf) ``` -After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the `"id_no"` column values are used to denote different taxa---meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named `"Simulus spp. 932"` has an identifier (`"id_no"` value) of 932, and this identifier is used to denote its range in the `spp_range_data` dataset, its habitat preferences in the `spp_habitat_data` dataset, and its elevational limits in the `spp_summary_data` dataset. We can verify that each of the species have the required information across all three datasets using the following code. +```{r, include = FALSE} +spp_name <- paste0("`\"", spp_range_data$binomial[[1]], "\"`") +spp_id_no <- paste0("`", spp_range_data$id_no[[1]], "`") + +``` + +After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the `"id_no"` column values are used to denote different taxa---meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named `r spp_name` has an identifier (`"id_no"` value) of `r spp_id_no`, and this identifier is used to denote its range in the `spp_range_data` dataset, its habitat preferences in the `spp_habitat_data` dataset, and its elevational limits in the `spp_summary_data` dataset. We can verify that each of the species have the required information across all three datasets using the following code. ```{r} # verify all identifiers in range data are present in habitat preference data diff --git a/inst/doc/customization.html b/inst/doc/customization.html index 6bd1dbc8..9e6d4851 100644 --- a/inst/doc/customization.html +++ b/inst/doc/customization.html @@ -11,7 +11,7 @@ - + Customization @@ -169,7 +169,7 @@

    Customization

    -

    2024-07-23

    +

    2024-07-24

    @@ -324,7 +324,7 @@

    Tutorial

    ## 8 6701 221 1069 EN ## 9 8110 75 991 VU ## 10 8644 182 1183 LC -

    After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the "id_no" column values are used to denote different taxa—meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named "Simulus spp. 932" has an identifier ("id_no" value) of 932, and this identifier is used to denote its range in the spp_range_data dataset, its habitat preferences in the spp_habitat_data dataset, and its elevational limits in the spp_summary_data dataset. We can verify that each of the species have the required information across all three datasets using the following code.

    +

    After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the "id_no" column values are used to denote different taxa—meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named "Simulus spp. 670" has an identifier ("id_no" value) of 670, and this identifier is used to denote its range in the spp_range_data dataset, its habitat preferences in the spp_habitat_data dataset, and its elevational limits in the spp_summary_data dataset. We can verify that each of the species have the required information across all three datasets using the following code.

    # verify all identifiers in range data are present in habitat preference data
     ## if we see TRUE: then this means both datasets have the same taxa identifiers
     ## if we see FALSE: then some taxa identifiers are missing from one dataset
    @@ -674,21 +674,21 @@ 

    Tutorial

    ## 15 3.4|5|14.5 3.4|5|14.5 182 ## elevation_upper xmin xmax ymin ymax path ## * <dbl> <dbl> <dbl> <dbl> <dbl> <chr> -## 1 942 -896631 -648631 4946077 5067077 /tmp/RtmpTR2H9Y/670_2.tif -## 2 942 -417631 320369 4742077 5033077 /tmp/RtmpTR2H9Y/670_3.tif -## 3 942 -527631 -312631 4664077 4840077 /tmp/RtmpTR2H9Y/670_4.tif -## 4 907 -916631 39369 4328077 5070077 /tmp/RtmpTR2H9Y/2072_1.tif -## 5 1020 -868631 320369 4304077 5070077 /tmp/RtmpTR2H9Y/2374_1.tif -## 6 598 -794631 -305631 4334077 4678077 /tmp/RtmpTR2H9Y/3667_1.tif -## 7 949 -863631 -8631 4400077 5062077 /tmp/RtmpTR2H9Y/4421_1.tif -## 8 951 -916631 203369 4304077 5070077 /tmp/RtmpTR2H9Y/4650_1.tif -## 9 974 -621631 -354631 4304077 4456077 /tmp/RtmpTR2H9Y/5808_1.tif -## 10 974 -375631 -201631 4373077 4519077 /tmp/RtmpTR2H9Y/5808_2.tif -## 11 974 -771631 -651631 4781077 4861077 /tmp/RtmpTR2H9Y/5808_3.tif -## 12 974 -868631 275369 4406077 5058077 /tmp/RtmpTR2H9Y/5808_4.tif -## 13 1069 -896631 -74631 4634077 5070077 /tmp/RtmpTR2H9Y/6701_1.tif -## 14 991 -868631 291369 4304077 5044077 /tmp/RtmpTR2H9Y/8110_1.tif -## 15 1183 -402631 183369 4624077 5000077 /tmp/RtmpTR2H9Y/8644_1.tif +## 1 942 -896631 -648631 4946077 5067077 /tmp/Rtmp082JE2/670_2.tif +## 2 942 -417631 320369 4742077 5033077 /tmp/Rtmp082JE2/670_3.tif +## 3 942 -527631 -312631 4664077 4840077 /tmp/Rtmp082JE2/670_4.tif +## 4 907 -916631 39369 4328077 5070077 /tmp/Rtmp082JE2/2072_1.tif +## 5 1020 -868631 320369 4304077 5070077 /tmp/Rtmp082JE2/2374_1.tif +## 6 598 -794631 -305631 4334077 4678077 /tmp/Rtmp082JE2/3667_1.tif +## 7 949 -863631 -8631 4400077 5062077 /tmp/Rtmp082JE2/4421_1.tif +## 8 951 -916631 203369 4304077 5070077 /tmp/Rtmp082JE2/4650_1.tif +## 9 974 -621631 -354631 4304077 4456077 /tmp/Rtmp082JE2/5808_1.tif +## 10 974 -375631 -201631 4373077 4519077 /tmp/Rtmp082JE2/5808_2.tif +## 11 974 -771631 -651631 4781077 4861077 /tmp/Rtmp082JE2/5808_3.tif +## 12 974 -868631 275369 4406077 5058077 /tmp/Rtmp082JE2/5808_4.tif +## 13 1069 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b/vignettes/customization.Rmd index 9ea29dca..2ba515d6 100644 --- a/vignettes/customization.Rmd +++ b/vignettes/customization.Rmd @@ -25,6 +25,12 @@ is_check <- ("CheckExEnv" %in% search()) || any(c("_R_CHECK_TIMINGS_", knitr::opts_chunk$set(fig.align = "center", eval = !is_check) ``` +```{r, include = FALSE, eval = TRUE} +# set dummy values so pre-compiled vignette passes checks +spp_name <- "`\"Simulus spp. 670\"`" +spp_id_no <- 632 +``` + ## Introduction The _aoh R_ package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson _et al._ [-@r4] and habitat classification data derived from Lumbierres _et al._ [-@r9]. Its defaults also include using species' elevational limit and habitat preference data from the [International Union for Conservation of Nature (IUCN) Red List of Threatened Species](https://www.iucnredlist.org/). In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources [e.g., from @r5]. The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from [Copernicus Corine Land Cover](https://land.copernicus.eu/en/products/corine-land-cover) data or species' elevational limit data from the [BirdLife Data Zone](https://datazone.birdlife.org/home). @@ -105,7 +111,6 @@ print(spp_summary_data, n = Inf) ```{r, include = FALSE} spp_name <- paste0("`\"", spp_range_data$binomial[[1]], "\"`") spp_id_no <- paste0("`", spp_range_data$id_no[[1]], "`") - ``` After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the `"id_no"` column values are used to denote different taxa---meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named `r spp_name` has an identifier (`"id_no"` value) of `r spp_id_no`, and this identifier is used to denote its range in the `spp_range_data` dataset, its habitat preferences in the `spp_habitat_data` dataset, and its elevational limits in the `spp_summary_data` dataset. We can verify that each of the species have the required information across all three datasets using the following code. From 2526c5adb1baaf9b34ba6aa6f85f941852e5382a Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Wed, 24 Jul 2024 16:38:22 +1200 Subject: [PATCH 14/15] tweak news --- NEWS.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/NEWS.md b/NEWS.md index 6ebd6c00..e6e7e43d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -6,7 +6,7 @@ those exclusively affiliated with the species' passage distributions and (ii) habitat types for resident distributions of non-migratory species would not include those exclusively affiliated with the species' passage distributions. - Thanks to Jianqiao Zhao for raising this issue. + Thanks to Jianqiao Zhao for bug report. - Update built-in testing data to include multiple migratory species. - Update internal R script for creating test dataset (i.e., `inst/scripts/test-data.R`) to be compatible with current version of From d0fbacc3cc3054dd1f6dbcd5922d1c72dbfdfb22 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Wed, 24 Jul 2024 16:38:39 +1200 Subject: [PATCH 15/15] rebuild vigns --- docs/articles/customization.html | 38 +++++++++--------- .../figure-html/unnamed-chunk-10-1.png | Bin 0 -> 141600 bytes .../figure-html/unnamed-chunk-17-1.png | Bin 0 -> 993538 bytes .../figure-html/unnamed-chunk-4-1.png | Bin 0 -> 199109 bytes .../figure-html/unnamed-chunk-9-1.png | Bin 141600 -> 443309 bytes docs/news/index.html | 2 +- docs/pkgdown.yml | 2 +- inst/doc/aoh.html | 30 +++++++------- inst/doc/customization.Rmd | 7 +++- inst/doc/customization.html | 30 +++++++------- 10 files changed, 57 insertions(+), 52 deletions(-) create mode 100644 docs/articles/customization_files/figure-html/unnamed-chunk-10-1.png create mode 100644 docs/articles/customization_files/figure-html/unnamed-chunk-17-1.png create mode 100644 docs/articles/customization_files/figure-html/unnamed-chunk-4-1.png diff --git a/docs/articles/customization.html b/docs/articles/customization.html index 84b6b691..2225af28 100644 --- a/docs/articles/customization.html +++ b/docs/articles/customization.html @@ -153,7 +153,7 @@

    Tutorial geom_sf(data = spp_range_data, fill = "darkblue") + facet_wrap(~ id_no + seasonal) print(map)

    -

    +

    Next, we will import data to describe the species’ habitat preferences. Although such data would be automatically obtained from the IUCN Red List by default (using the get_spp_habitat_data() function), here we will import example data distributed with the package. As before, please note that these data were not obtained from the IUCN Red List, and were randomly generated. If you wish to use your own data, please ensure that they follow exactly the same conventions (e.g., column names, data types, and character values for the "suitability" and "season" columns).

     # find file path for species habitat preference data
    @@ -279,7 +279,7 @@ 

    Tutorial
     # visualize data
     plot(elevation_data, main = "Elevation data")

    -

    +

    Next, we will import habitat classification data. Although such data would be automatically imported by default (using the get_lumb_cgls_habitat_data() function), here we will import example data distributed with the package.

     # find file path for elevation data
    @@ -304,7 +304,7 @@ 

    Tutorial
     # visualize data
     plot(habitat_data, main = "Habitat classification data")

    -

    +

    Critically, the elevation data and habitat classification data must have exactly the same spatial properties. This means they must have the same coordinate reference system, resolution, and spatial extent. If you are using elevation or habitat classification data that you have previously prepared yourself (or manually download from online sources), you may need to resample (or reproject) your data to ensure both datasets have the same spatial properties using a geographic information system (GIS). For example, data could be resampled using ESRI ArcGIS, QGIS, terra R package, or the gdalUtilities R package. We can verify that both of the elevation and habitat classification datasets have the same spatial properties using the following code.

     # verify that elevation and habitat classification data have same properties
    @@ -604,21 +604,21 @@ 

    Tutorial## 15 3.4|5|14.5 3.4|5|14.5 182 ## elevation_upper xmin xmax ymin ymax path ## * <dbl> <dbl> <dbl> <dbl> <dbl> <chr> -## 1 942 -896631 -648631 4946077 5067077 /tmp/Rtmpx2ookp/670_2.tif -## 2 942 -417631 320369 4742077 5033077 /tmp/Rtmpx2ookp/670_3.tif -## 3 942 -527631 -312631 4664077 4840077 /tmp/Rtmpx2ookp/670_4.tif -## 4 907 -916631 39369 4328077 5070077 /tmp/Rtmpx2ookp/2072_1.tif -## 5 1020 -868631 320369 4304077 5070077 /tmp/Rtmpx2ookp/2374_1.tif -## 6 598 -794631 -305631 4334077 4678077 /tmp/Rtmpx2ookp/3667_1.tif -## 7 949 -863631 -8631 4400077 5062077 /tmp/Rtmpx2ookp/4421_1.tif -## 8 951 -916631 203369 4304077 5070077 /tmp/Rtmpx2ookp/4650_1.tif -## 9 974 -621631 -354631 4304077 4456077 /tmp/Rtmpx2ookp/5808_1.tif -## 10 974 -375631 -201631 4373077 4519077 /tmp/Rtmpx2ookp/5808_2.tif -## 11 974 -771631 -651631 4781077 4861077 /tmp/Rtmpx2ookp/5808_3.tif -## 12 974 -868631 275369 4406077 5058077 /tmp/Rtmpx2ookp/5808_4.tif -## 13 1069 -896631 -74631 4634077 5070077 /tmp/Rtmpx2ookp/6701_1.tif -## 14 991 -868631 291369 4304077 5044077 /tmp/Rtmpx2ookp/8110_1.tif -## 15 1183 -402631 183369 4624077 5000077 /tmp/Rtmpx2ookp/8644_1.tif +## 1 942 -896631 -648631 4946077 5067077 /tmp/RtmpPWlzog/670_2.tif +## 2 942 -417631 320369 4742077 5033077 /tmp/RtmpPWlzog/670_3.tif +## 3 942 -527631 -312631 4664077 4840077 /tmp/RtmpPWlzog/670_4.tif +## 4 907 -916631 39369 4328077 5070077 /tmp/RtmpPWlzog/2072_1.tif +## 5 1020 -868631 320369 4304077 5070077 /tmp/RtmpPWlzog/2374_1.tif +## 6 598 -794631 -305631 4334077 4678077 /tmp/RtmpPWlzog/3667_1.tif +## 7 949 -863631 -8631 4400077 5062077 /tmp/RtmpPWlzog/4421_1.tif +## 8 951 -916631 203369 4304077 5070077 /tmp/RtmpPWlzog/4650_1.tif +## 9 974 -621631 -354631 4304077 4456077 /tmp/RtmpPWlzog/5808_1.tif +## 10 974 -375631 -201631 4373077 4519077 /tmp/RtmpPWlzog/5808_2.tif +## 11 974 -771631 -651631 4781077 4861077 /tmp/RtmpPWlzog/5808_3.tif +## 12 974 -868631 275369 4406077 5058077 /tmp/RtmpPWlzog/5808_4.tif +## 13 1069 -896631 -74631 4634077 5070077 /tmp/RtmpPWlzog/6701_1.tif +## 14 991 -868631 291369 4304077 5044077 /tmp/RtmpPWlzog/8110_1.tif +## 15 1183 -402631 183369 4624077 5000077 /tmp/RtmpPWlzog/8644_1.tif ## geometry ## * <MULTIPOLYGON [m]> ## 1 (((-744167.8 5065733, -744758.3 5065030, -745429.8 5064437, -745619 5064063,… @@ -659,7 +659,7 @@

    Tutorial # display maps print(map)

    -

    +

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    Changelog

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a/docs/news/index.html +++ b/docs/news/index.html @@ -62,7 +62,7 @@

    -
    • Fix bug in create_spp_info_data() in assigning habitat types for resident distributions of migratory and non-migratory species. This bug meant that (i) habitat types for resident distributions of migratory species would include those exclusively affiliated with the species’ passage distributions and (ii) habitat types for resident distributions of non-migratory species would not include those exclusively affiliated with the species’ passage distributions. Thanks to Jianqiao Zhao for raising this issue.
    • +
      • Fix bug in create_spp_info_data() in assigning habitat types for resident distributions of migratory and non-migratory species. This bug meant that (i) habitat types for resident distributions of migratory species would include those exclusively affiliated with the species’ passage distributions and (ii) habitat types for resident distributions of non-migratory species would not include those exclusively affiliated with the species’ passage distributions. Thanks to Jianqiao Zhao for bug report.
      • Update built-in testing data to include multiple migratory species.
      • Update internal R script for creating test dataset (i.e., inst/scripts/test-data.R) to be compatible with current version of the package.
      • Update is_gdal_calc_available() to be more robust.
      • diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 3ee4008b..b8b1f611 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -4,5 +4,5 @@ pkgdown_sha: ~ articles: aoh: aoh.html customization: customization.html -last_built: 2024-07-24T00:37Z +last_built: 2024-07-24T04:29Z diff --git a/inst/doc/aoh.html b/inst/doc/aoh.html index e871b8f7..9a859f2c 100644 --- a/inst/doc/aoh.html +++ b/inst/doc/aoh.html @@ -282,10 +282,10 @@

        Tutorial

        ## # A tibble: 4 × 5 ## id_no binomial seasonal path geometry ## <dbl> <chr> <int> <chr> <POLYGON [m]> -## 1 979 Alytes dickhilleni 1 /tmp/Rtmp082JE… ((-105506.8 4465112, -10… -## 2 59448 Calotriton asper 1 /tmp/Rtmp082JE… ((-238681 5029057, -2377… -## 3 4657 Chioglossa lusitanica 1 /tmp/Rtmp082JE… ((-859201.6 4559278, -85… -## 4 58622 Rana iberica 1 /tmp/Rtmp082JE… ((-849801.9 4614149, -84…
        +## 1 979 Alytes dickhilleni 1 /tmp/RtmpK4QWL… ((-105506.8 4465112, -10… +## 2 59448 Calotriton asper 1 /tmp/RtmpK4QWL… ((-238681 5029057, -2377… +## 3 4657 Chioglossa lusitanica 1 /tmp/RtmpK4QWL… ((-859201.6 4559278, -85… +## 4 58622 Rana iberica 1 /tmp/RtmpK4QWL… ((-849801.9 4614149, -84…

        After generating the Area of Habitat data, we can import them.

        # import the Area of Habitat data
         ## since the data for each species have a different spatial extent
        @@ -340,7 +340,7 @@ 

        Tutorial

        We can see that the Area of Habitat data for each species are stored in separate spatial (raster) datasets with different extents. Although this is useful because it drastically reduces the total size of the data for each species, it can make it difficult to work with data for multiple species. To address this, we can use the terra_combine() function to automatically align and combine the spatial data for all species’ distributions into a single spatial dataset.

        # combine raster data
         spp_aoh_rasters <- terra_combine(spp_aoh_rasters)
        -
        ## |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|==========                                          |---------|---------|---------|---------|=====================                                          
        +
        ## |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|========                                          |---------|---------|---------|---------|=========================                                          
        # assign identifiers to layer names
         names(spp_aoh_rasters) <- paste0(
           "AOH_", spp_aoh_data$id_no, "_", spp_aoh_data$seasonal
        @@ -353,10 +353,10 @@ 

        Tutorial

        ## resolution : 100, 100 (x, y) ## extent : -914731, 318669, 4364377, 5066777 (xmin, xmax, ymin, ymax) ## coord. ref. : World_Behrmann -## sources : spat_375a778280b16_226727.tif -## spat_375a74374bba2_226727.tif -## spat_375a71d7f31cf_226727.tif -## spat_375a73a85bf39_226727.tif +## sources : spat_4331713e3e6c0_275223.tif +## spat_43317560d309c_275223.tif +## spat_43317450ad47_275223.tif +## spat_433175218fc77_275223.tif ## varnames : 979_1 ## 59448_1 ## 4657_1 @@ -381,10 +381,10 @@

        Tutorial

        axis.text = element_text(size = 6), strip.text = element_text(color = "white"), strip.background = element_rect(fill = "black", color = "black") - ) - -# display maps -print(map)
        + )
        +
        ## |---------|---------|---------|---------|=========================================                                          
        +
        # display maps
        +print(map)

    @@ -398,8 +398,8 @@

    Frequently asked questions

    Please open the .Renviron file on your computer (e.g., using usethis::edit_r_environ()). Next, please add the following text to the file (replacing the string with the token) and save the file:

    IUCN_REDLIST_KEY="your_actual_token_not_this_string"

    Please restart your R session. You should now be able to access the IUCN Red List API. To verify this, please try running the following R code and – assuming everything works correctly – you should see the current version of the IUCN Red List:

    -
    # verify access to IUCN Red List API
    -rredlist::rl_version()
    +
    # verify access to IUCN Red List API
    +rredlist::rl_version()

    If these instructions did not work, please consult the documentation for the rredlist R package for further details.

  • Where can I find species range data for generating Area of Habitat data?

    Species range data can be obtained from the IUCN Red List (see Spatial Data Download resources). They can also be obtained from other data sources (see the question below for details).

  • diff --git a/inst/doc/customization.Rmd b/inst/doc/customization.Rmd index 9ea29dca..2ba515d6 100644 --- a/inst/doc/customization.Rmd +++ b/inst/doc/customization.Rmd @@ -25,6 +25,12 @@ is_check <- ("CheckExEnv" %in% search()) || any(c("_R_CHECK_TIMINGS_", knitr::opts_chunk$set(fig.align = "center", eval = !is_check) ``` +```{r, include = FALSE, eval = TRUE} +# set dummy values so pre-compiled vignette passes checks +spp_name <- "`\"Simulus spp. 670\"`" +spp_id_no <- 632 +``` + ## Introduction The _aoh R_ package provides a flexible framework for generating Area of Habitat data. By default, it will use elevation data derived from Robinson _et al._ [-@r4] and habitat classification data derived from Lumbierres _et al._ [-@r9]. Its defaults also include using species' elevational limit and habitat preference data from the [International Union for Conservation of Nature (IUCN) Red List of Threatened Species](https://www.iucnredlist.org/). In addition to these defaults, it provides built-in functions to use habitat classification derived from other data sources [e.g., from @r5]. The package can also be used to generate Area of Habitat data using other datasets that have been manually created by the user. For example, it could be used to produce Area of Habitat data using habitat classification data derived from [Copernicus Corine Land Cover](https://land.copernicus.eu/en/products/corine-land-cover) data or species' elevational limit data from the [BirdLife Data Zone](https://datazone.birdlife.org/home). @@ -105,7 +111,6 @@ print(spp_summary_data, n = Inf) ```{r, include = FALSE} spp_name <- paste0("`\"", spp_range_data$binomial[[1]], "\"`") spp_id_no <- paste0("`", spp_range_data$id_no[[1]], "`") - ``` After importing all the datasets with the species data, it is important to ensure that each and every species is associated with geographic range, habitat preference, and summary data. Here, the `"id_no"` column values are used to denote different taxa---meaning that each species should have a unique identifier. These identifiers are used when cross-referencing the datasets. For example, the species named `r spp_name` has an identifier (`"id_no"` value) of `r spp_id_no`, and this identifier is used to denote its range in the `spp_range_data` dataset, its habitat preferences in the `spp_habitat_data` dataset, and its elevational limits in the `spp_summary_data` dataset. We can verify that each of the species have the required information across all three datasets using the following code. diff --git a/inst/doc/customization.html b/inst/doc/customization.html index 9e6d4851..bf6ded2e 100644 --- a/inst/doc/customization.html +++ b/inst/doc/customization.html @@ -674,21 +674,21 @@

    Tutorial

    ## 15 3.4|5|14.5 3.4|5|14.5 182 ## elevation_upper xmin xmax ymin ymax path ## * <dbl> <dbl> <dbl> <dbl> <dbl> <chr> -## 1 942 -896631 -648631 4946077 5067077 /tmp/Rtmp082JE2/670_2.tif -## 2 942 -417631 320369 4742077 5033077 /tmp/Rtmp082JE2/670_3.tif -## 3 942 -527631 -312631 4664077 4840077 /tmp/Rtmp082JE2/670_4.tif -## 4 907 -916631 39369 4328077 5070077 /tmp/Rtmp082JE2/2072_1.tif -## 5 1020 -868631 320369 4304077 5070077 /tmp/Rtmp082JE2/2374_1.tif -## 6 598 -794631 -305631 4334077 4678077 /tmp/Rtmp082JE2/3667_1.tif -## 7 949 -863631 -8631 4400077 5062077 /tmp/Rtmp082JE2/4421_1.tif -## 8 951 -916631 203369 4304077 5070077 /tmp/Rtmp082JE2/4650_1.tif -## 9 974 -621631 -354631 4304077 4456077 /tmp/Rtmp082JE2/5808_1.tif -## 10 974 -375631 -201631 4373077 4519077 /tmp/Rtmp082JE2/5808_2.tif -## 11 974 -771631 -651631 4781077 4861077 /tmp/Rtmp082JE2/5808_3.tif -## 12 974 -868631 275369 4406077 5058077 /tmp/Rtmp082JE2/5808_4.tif -## 13 1069 -896631 -74631 4634077 5070077 /tmp/Rtmp082JE2/6701_1.tif -## 14 991 -868631 291369 4304077 5044077 /tmp/Rtmp082JE2/8110_1.tif -## 15 1183 -402631 183369 4624077 5000077 /tmp/Rtmp082JE2/8644_1.tif +## 1 942 -896631 -648631 4946077 5067077 /tmp/RtmpK4QWLo/670_2.tif +## 2 942 -417631 320369 4742077 5033077 /tmp/RtmpK4QWLo/670_3.tif +## 3 942 -527631 -312631 4664077 4840077 /tmp/RtmpK4QWLo/670_4.tif +## 4 907 -916631 39369 4328077 5070077 /tmp/RtmpK4QWLo/2072_1.tif +## 5 1020 -868631 320369 4304077 5070077 /tmp/RtmpK4QWLo/2374_1.tif +## 6 598 -794631 -305631 4334077 4678077 /tmp/RtmpK4QWLo/3667_1.tif +## 7 949 -863631 -8631 4400077 5062077 /tmp/RtmpK4QWLo/4421_1.tif +## 8 951 -916631 203369 4304077 5070077 /tmp/RtmpK4QWLo/4650_1.tif +## 9 974 -621631 -354631 4304077 4456077 /tmp/RtmpK4QWLo/5808_1.tif +## 10 974 -375631 -201631 4373077 4519077 /tmp/RtmpK4QWLo/5808_2.tif +## 11 974 -771631 -651631 4781077 4861077 /tmp/RtmpK4QWLo/5808_3.tif +## 12 974 -868631 275369 4406077 5058077 /tmp/RtmpK4QWLo/5808_4.tif +## 13 1069 -896631 -74631 4634077 5070077 /tmp/RtmpK4QWLo/6701_1.tif +## 14 991 -868631 291369 4304077 5044077 /tmp/RtmpK4QWLo/8110_1.tif +## 15 1183 -402631 183369 4624077 5000077 /tmp/RtmpK4QWLo/8644_1.tif ## geometry ## * <MULTIPOLYGON [m]> ## 1 (((-744167.8 5065733, -744758.3 5065030, -745429.8 5064437, -745619 5064063,…