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Mapinguari

Process-Based Biogeographical Analysis

v2.0.1 · Jun 26, 2023 · GPL-2

Description

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>.

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dependencies in R code

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dependencies in R code

Namespaces in Imports field not imported from:
  ‘dplyr’ ‘rlang’ ‘testthat’
  All declared Imports should be used.
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘dplyr’ ‘rlang’ ‘testthat’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘dplyr’ ‘rlang’ ‘testthat’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies dplyr magrittr raster rlang stringr testthat Mapinguari

Version History

new 2.0.1 Mar 9, 2026