From 050d68bb0055eda21464d310a162136391b28d4b Mon Sep 17 00:00:00 2001 From: github-actions Date: Wed, 21 Aug 2024 08:05:54 +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 68936 -> 69013 bytes .../figure-html/unnamed-chunk-21-1.png | Bin 121066 -> 122207 bytes .../figure-html/unnamed-chunk-26-1.png | Bin 59624 -> 59687 bytes .../figure-html/unnamed-chunk-31-1.png | Bin 33502 -> 35257 bytes 9 files changed, 37 insertions(+), 37 deletions(-) diff --git a/index.html b/index.html index 1f3d00de4c..f638685860 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 2024-08-20

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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 2024-08-21

diff --git a/performance.html b/performance.html index e95ad6c9b2..64f7e5c2eb 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 26d2d6b7cc..65d1bcac51 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\n2024-08-17\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n11.14\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\n2024-08-19\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n11.14\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 2024-08-20" + "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 2024-08-21" }, { "objectID": "catalog.html", diff --git a/sitemap.xml b/sitemap.xml index 192685e75b..4f529bb762 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -2,23 +2,23 @@ https://projects.ecoforecast.org/neon4cast-ci/catalog.html - 2024-08-19 + 2024-08-20 https://projects.ecoforecast.org/neon4cast-ci/targets.html - 2024-08-19 + 2024-08-20 https://projects.ecoforecast.org/neon4cast-ci/instructions.html - 2024-08-19 + 2024-08-20 https://projects.ecoforecast.org/neon4cast-ci/performance.html - 2024-08-19 + 2024-08-20 https://projects.ecoforecast.org/neon4cast-ci/index.html - 2024-08-19 + 2024-08-20 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 74ef4f1cde..581febf007 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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