Facilitates the incorporation of biological processes in biogeographical analyses. It offers conveniences in fitting, comparing and extrapolating models of biological processes such as physiology and phenology. These spatial extrapolations can be informative by themselves, but also complement traditional correlative species distribution models, by mixing environmental and process-based predictors. Caetano et al (2020) <doi:10.1111/oik.07123>.
Version: 2.0.1 Depends: R (≥ 3.5) Imports: dplyr, magrittr, parallel, raster, rlang, stringr, testthat Suggests: geosphere, mgcv Published: 2023-06-26 DOI: 10.32614/CRAN.package.Mapinguari Author: Gabriel Caetano [aut, cre], Juan Santos [aut], Barry Sinervo [aut] Maintainer: Gabriel Caetano <gabrielhoc at gmail.com> BugReports: https://github.com/gabrielhoc/Mapinguari/issues License: GPL-2 URL: https://github.com/gabrielhoc/Mapinguari NeedsCompilation: no CRAN checks: Mapinguari results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Mapinguari to link to this page.
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