White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030
February 22, 2023
This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. The code relies on the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv.
Citation Information
Publication Year | 2023 |
---|---|
Title | White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030 |
DOI | 10.5066/P9XYRQ1K |
Authors | Ashton M. Wiens, Wayne E Thogmartin |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Upper Midwest Environmental Sciences Center |
Rights | This work is marked with CC0 1.0 Universal |
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Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030
White-nose syndrome has been decimating populations of several bat species since its first occurrence in the Northeastern United States in the winter 2006–2007. The spread of the disease has been monitored across the continent through the collaboration of many organizations. Inferring the rate of spread of the disease and predicting its arrival at new locations is critical when assessing...
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Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030
White-nose syndrome has been decimating populations of several bat species since its first occurrence in the Northeastern United States in the winter 2006–2007. The spread of the disease has been monitored across the continent through the collaboration of many organizations. Inferring the rate of spread of the disease and predicting its arrival at new locations is critical when assessing...
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Mathematical Statistician
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