From 7a88149bba459082448dfe2fab8205c0c2fedd9b Mon Sep 17 00:00:00 2001 From: github-actions Date: Sun, 26 May 2024 08:11:14 +0000 Subject: [PATCH] update pages --- index.html | 8 +- performance.html | 122 +++++++++--------- search.json | 6 +- sitemap.xml | 10 +- targets.html | 4 +- .../figure-html/unnamed-chunk-15-1.png | Bin 68084 -> 68256 bytes .../figure-html/unnamed-chunk-21-1.png | Bin 125345 -> 125467 bytes .../figure-html/unnamed-chunk-31-1.png | Bin 34396 -> 35257 bytes 8 files changed, 75 insertions(+), 75 deletions(-) diff --git a/index.html b/index.html index a557242b92..6a37bfae47 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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7703

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7714

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Why a forecast

Most recent data for model training

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2024-05-23
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2024-05-25
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Why a forecast

Number of years of data for model training

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10.9

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10.91

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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 2024-05-25

+

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 2024-05-26

diff --git a/performance.html b/performance.html index bab279a54e..8c44643b12 100644 --- a/performance.html +++ b/performance.html @@ -186,7 +186,7 @@

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 2024-05-23

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Forecasts submitted on 2024-05-24

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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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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 6ddddc4217..11ac84ed96 100644 --- a/search.json +++ b/search.json @@ -95,7 +95,7 @@ "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 2024-05-23\n\nTerrestrial: net ecosystem exchangeTerrestrial: latent heat fluxPhenology: greennessPhenology: 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\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\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 2024-05-24\n\nTerrestrial: net ecosystem exchangeTerrestrial: latent heat fluxPhenology: greennessPhenology: 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\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\n\n\n\n\n\n\n\n\nForecast summaries are available here" }, { "objectID": "performance.html#forecast-analysis", @@ -123,7 +123,7 @@ "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\n7703\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2024-05-23\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.9\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\n7714\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMost recent data for model training\n2024-05-25\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNumber of years of data for model training\n10.91\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", @@ -144,7 +144,7 @@ "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 2024-05-25" + "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 2024-05-26" }, { "objectID": "targets.html", diff --git a/sitemap.xml b/sitemap.xml index f043c7f4d7..5e1d9200f6 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -2,23 +2,23 @@ https://projects.ecoforecast.org/neon4cast-ci/catalog.html - 2024-05-24 + 2024-05-25 https://projects.ecoforecast.org/neon4cast-ci/targets.html - 2024-05-24 + 2024-05-25 https://projects.ecoforecast.org/neon4cast-ci/instructions.html - 2024-05-24 + 2024-05-25 https://projects.ecoforecast.org/neon4cast-ci/performance.html - 2024-05-24 + 2024-05-25 https://projects.ecoforecast.org/neon4cast-ci/index.html - 2024-05-24 + 2024-05-25 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 d5d9a960e4..8768dc928d 100644 --- a/targets.html +++ b/targets.html @@ -972,8 +972,8 @@

30 minute

Explore the sites

-
- +
+



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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