From 648b4b6d2d53da0bc8ad5b8c57593e05957242fa Mon Sep 17 00:00:00 2001 From: github-actions Date: Sat, 17 Aug 2024 08:06:07 +0000 Subject: [PATCH] update pages --- index.html | 4 +- performance.html | 52 +++++++++--------- search.json | 4 +- sitemap.xml | 10 ++-- targets.html | 4 +- .../figure-html/unnamed-chunk-15-1.png | Bin 69219 -> 69158 bytes .../figure-html/unnamed-chunk-21-1.png | Bin 123116 -> 122855 bytes .../figure-html/unnamed-chunk-26-1.png | Bin 56594 -> 58614 bytes .../figure-html/unnamed-chunk-31-1.png | Bin 35257 -> 34241 bytes 9 files changed, 37 insertions(+), 37 deletions(-) diff --git a/index.html b/index.html index e1bc559e07..62ece88db7 100644 --- a/index.html +++ b/index.html @@ -215,7 +215,7 @@

Why a forecast

Most recent data for model training

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Contact

Acknowledgements

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Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616

We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388.

Page last updated on 2024-08-16

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Thomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616

We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388.

Page last updated on 2024-08-17

diff --git a/performance.html b/performance.html index 6825bd98ef..05f32d63d6 100644 --- a/performance.html +++ b/performance.html @@ -194,8 +194,8 @@

Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

Forecast summaries are available here

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Forecast analysis

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Aggregated scores

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diff --git a/search.json b/search.json index c62fa52883..587e103308 100644 --- a/search.json +++ b/search.json @@ -11,7 +11,7 @@ "href": "index.html#why-a-forecasting-challenge", "title": "Forecasting Challenge", "section": "Why a forecasting challenge?", - "text": "Why a forecasting challenge?\nOur vision is to use forecasts to advance theory and to support natural resource management. We can begin to realize this vision by creating and analyzing a catalog of forecasts from a range of ecological systems, spatiotemporal scales, and environmental gradients.\nOur forecasting challenge is platform for the ecological and data science communities to advance skills in forecasting ecological systems and for generating forecasts that contribute to a synthetic understanding of patterns of predictability in ecology. Rewards for contributing are skill advancement, joy, and potential involved in manuscripts. We do not currently crown winner nor offer financial awards.\nThe Challenge is an excellent focal project in university courses.\n \n\n\n\n\n\n\n\n\n\nTotal forecasts submitted to the NEON Challenge\n9366\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2024-08-14\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n11.13\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of variables being forecasted\n10" + "text": "Why a forecasting challenge?\nOur vision is to use forecasts to advance theory and to support natural resource management. We can begin to realize this vision by creating and analyzing a catalog of forecasts from a range of ecological systems, spatiotemporal scales, and environmental gradients.\nOur forecasting challenge is platform for the ecological and data science communities to advance skills in forecasting ecological systems and for generating forecasts that contribute to a synthetic understanding of patterns of predictability in ecology. Rewards for contributing are skill advancement, joy, and potential involved in manuscripts. We do not currently crown winner nor offer financial awards.\nThe Challenge is an excellent focal project in university courses.\n \n\n\n\n\n\n\n\n\n\nTotal forecasts submitted to the NEON Challenge\n9366\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2024-08-15\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n11.13\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of variables being forecasted\n10" }, { "objectID": "index.html#the-challenge-is-a-platform", @@ -32,7 +32,7 @@ "href": "index.html#acknowledgements", "title": "Forecasting Challenge", "section": "Acknowledgements", - "text": "Acknowledgements\nThomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616 We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388. Page last updated on 2024-08-16" + "text": "Acknowledgements\nThomas, R. Q., Boettiger, C., Carey, C. C., Dietze, M. C., Johnson, L. R., Kenney, M. A., et al. (2023). The NEON Ecological Forecasting Challenge. Frontiers in Ecology and the Environment, 21(3), 112–113. https://doi.org/10.1002/fee.2616 We thank NEON for providing the freely available data and the EFI community for feedback on the design of the Challenge. This material is based upon work supported by the National Science Foundation under Grant DEB-1926388. Page last updated on 2024-08-17" }, { "objectID": "catalog.html", diff --git a/sitemap.xml b/sitemap.xml index 28aa2b44cf..7a6bb24fe2 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -2,23 +2,23 @@ https://projects.ecoforecast.org/neon4cast-ci/catalog.html - 2024-08-11 + 2024-08-16 https://projects.ecoforecast.org/neon4cast-ci/targets.html - 2024-08-11 + 2024-08-16 https://projects.ecoforecast.org/neon4cast-ci/instructions.html - 2024-08-11 + 2024-08-16 https://projects.ecoforecast.org/neon4cast-ci/performance.html - 2024-08-11 + 2024-08-16 https://projects.ecoforecast.org/neon4cast-ci/index.html - 2024-08-11 + 2024-08-16 https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/catalog.json diff --git a/targets.html b/targets.html index 8ff0cf6391..6919fba89a 100644 --- a/targets.html +++ b/targets.html @@ -972,8 +972,8 @@

30 minute

Explore the sites

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The following table lists all the sites in the NEON Ecological Forecasting Challenge. The columns with “theme” names incidate whether that site is included in that theme’s target file.

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