Other packages > Find by keyword >

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 05 Oct. 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

cdlTools  
Tools to Download and Work with USDA Cropscape Data
Downloads USDA National Agricultural Statistics Service (NASS) cropscape data for a specified state ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
correlation  
Methods for Correlation Analysis
Lightweight package for computing different kinds of correlations, such as partial correlations, Ba ...
Download / Learn more Package Citations See dependency  
genie  
Fast, Robust, and Outlier Resistant Hierarchical Clustering
Includes the reference implementation of Genie - a hierarchical clustering algorithm that links two ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA