From d15341c21d841ef7e0a590efe588910ae9cdbe55 Mon Sep 17 00:00:00 2001 From: github-actions Date: Wed, 31 Jan 2024 06:04:08 +0000 Subject: [PATCH] update pages --- index.html | 4 +- performance.html | 111 +++++++++++++++++++++++------------------------ search.json | 6 +-- sitemap.xml | 4 ++ targets.html | 4 +- 5 files changed, 66 insertions(+), 63 deletions(-) diff --git a/index.html b/index.html index d01263e3b4..8985e9b27e 100644 --- a/index.html +++ b/index.html @@ -198,7 +198,7 @@

Why a forecast

Total forecasts submitted to the NEON Challenge

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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 2024-01-30

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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 2024-01-31

diff --git a/performance.html b/performance.html index 2704c4319a..fa0706be67 100644 --- a/performance.html +++ b/performance.html @@ -185,7 +185,7 @@

On this page

Most recent forecasts

Only the top performing models from the last 30 days are shown.

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Forecasts submitted on 2024-01-29

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Forecasts submitted on 2024-01-30

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Most recent forecasts

Forecast summaries are available here

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Most recent forecasts

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Most recent forecasts

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Most recent forecasts

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Forecast analysis

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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 9203a57001..f195ed95ee 100644 --- a/search.json +++ b/search.json @@ -32,7 +32,7 @@ "href": "performance.html#sec-performance", "title": "Forecast performance", "section": "Most recent forecasts", - "text": "Most recent forecasts\nOnly the top performing models from the last 30 days are shown.\nForecasts submitted on 2024-01-29\n\nTerrestrial: Net Ecosystem ExchangeTerrestrial: Latent Heat FluxPhenology: GreenessPhenology: RednessAquatics: water temperatureAquatics: dissolved oxygenAquatics: Chlorophyll-aBeetle community richnessBeetle community abundanceTicks: Amblyomma americanum\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\nNULL\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here" + "text": "Most recent forecasts\nOnly the top performing models from the last 30 days are shown.\nForecasts submitted on 2024-01-30\n\nTerrestrial: Net Ecosystem ExchangeTerrestrial: Latent Heat FluxPhenology: GreenessPhenology: RednessAquatics: water temperatureAquatics: dissolved oxygenAquatics: Chlorophyll-aBeetle community richnessBeetle community abundanceTicks: Amblyomma americanum\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\nNULL\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\nNULL\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here\n\n\n\n\n\n\n\n\nForecast summaries are available here" }, { "objectID": "performance.html#forecast-analysis", @@ -60,7 +60,7 @@ "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\n5586\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2024-01-28\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.58\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\n5601\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2024-01-28\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.58\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", @@ -81,7 +81,7 @@ "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 2024-01-30" + "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 2024-01-31" }, { "objectID": "learn-more.html", diff --git a/sitemap.xml b/sitemap.xml index 7548b80255..ed73a0e9b2 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -528,6 +528,10 @@ https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/scores/models/model_items/example_BK.json 2024-01-15 + + https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/scores/models/model_items/example_BKandel.json + 2024-01-15 + https://radiantearth.github.io/stac-browser/#/external/raw.githubusercontent.com/eco4cast/neon4cast-ci/main/catalog/scores/models/model_items/example_ID.json 2024-01-15 diff --git a/targets.html b/targets.html index 5a5cee4d9f..c9efa06892 100644 --- a/targets.html +++ b/targets.html @@ -969,8 +969,8 @@

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.