Mapinguari: Process-Based Biogeographical Analysis

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.

Version: 1.0.0
Depends: R (≥ 3.5)
Imports: dplyr, magrittr, parallel, raster, rgdal, rlang, stringr, testthat
Suggests: EcoHydRology, geosphere, mgcv
Published: 2019-09-30
Author: Gabriel Caetano [aut, cre], Juan Santos [aut], Barry Sinervo [aut]
Maintainer: Gabriel Caetano <gabrielhoc at gmail.com>
BugReports: http://github.com/gabrielhoc/Mapinguari/issues
License: GPL-2
URL: http://github.com/gabrielhoc/Mapinguari
NeedsCompilation: no
CRAN checks: Mapinguari results

Downloads:

Reference manual: Mapinguari.pdf
Package source: Mapinguari_1.0.0.tar.gz
Windows binaries: r-devel: Mapinguari_1.0.0.zip, r-release: Mapinguari_1.0.0.zip, r-oldrel: Mapinguari_1.0.0.zip
OS X binaries: r-release: Mapinguari_1.0.0.tgz, r-oldrel: Mapinguari_1.0.0.tgz

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