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 Digital Object Identifier Catalog |
| USGS Organization | Upper Midwest Environmental Sciences Center |
Related Content
Ashton Wiens, Ph.D.
Mathematical Statistician
Mathematical Statistician
Email
Wayne E Thogmartin, PhD
Research Ecologist
Research Ecologist
Email
Phone
Related Content
- Connect
Ashton Wiens, Ph.D.
Mathematical StatisticianEmailWayne E Thogmartin, PhD
Research EcologistEmailPhone