Model future West Nile virus risk. The model uses a functional linear modeling approach with drought, temperature, humidity, and human population data as inputs to forecast risk of vector-borne diseases. The model was developed to predict West Nile virus in Nebraska. The file teller_2016_make_data.R is adapted from Teller, B. J., Adler, P. B., Edwards, C. B., Hooker, G., & Ellner, S. P. (2016). Linking demography with drivers: Climate and competition. Methods in Ecology and Evolution, 7(2), 171–183. https://doi.org/10.1111/2041-210X.12486.
Package details |
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Author | Kelly Helm Smith <ksmith2@unl.edu>, Andrew Tyre <atyre2@unl.edu> |
Maintainer | Kelly Helm Smith <ksmith2@unl.edu> |
License | All Rights Reserved |
Version | 0.3.0.9003 |
URL | https://github.com/khelmsmith/flm_NE_WNV |
Package repository | View on GitHub |
Installation |
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