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Mapinguari  

Process-Based Biogeographical Analysis
View on CRAN: Click here


Download and install Mapinguari package within the R console
Install from CRAN:
install.packages("Mapinguari")

Install from Github:
library("remotes")
install_github("cran/Mapinguari")

Install by package version:
library("remotes")
install_version("Mapinguari", "2.0.1")



Attach the package and use:
library("Mapinguari")
Maintained by
Gabriel Caetano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-30
Latest Update: 2023-06-26
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) .
How to cite:
Gabriel Caetano (2019). Mapinguari: Process-Based Biogeographical Analysis. R package version 2.0.1, https://cran.r-project.org/web/packages/Mapinguari. Accessed 08 Aug. 2026.
Previous versions and publish date:
1.0.0 (2019-09-30 18:40), 2.0.0 (2023-04-24 14:50), (2026-07-09 08:10)
Other packages that cited Mapinguari R package
View Mapinguari citation profile
Other R packages that Mapinguari depends, imports, suggests or enhances
Complete documentation for Mapinguari
Functions, R codes and Examples using the Mapinguari R package
Full Mapinguari package functions and examples
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