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GapAnalysis  

Conservation Indicators Using Spatial Information
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GapAnalysis", "2.0.0")



Attach the package and use:
library("GapAnalysis")
Maintained by
Julian Ramirez-Villegas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-10
Latest Update:
Description:
Supports the assessment of the degree of conservation of taxa in conservation systems, both in ex situ [in genebanks, botanical gardens, and other repositories] and in situ [in protected natural areas]. Methods are described in Carver et al. [2021] , building on Khoury et al. [2020] , Khoury et al. [2019] , Khoury et al. [2019] , Castaneda-Alvarez et al. [2016] , and Ramirez-Villegas et al. [2010] .
How to cite:
Julian Ramirez-Villegas (2020). GapAnalysis: Conservation Indicators Using Spatial Information. R package version 2.0.0, https://cran.r-project.org/web/packages/GapAnalysis. Accessed 06 Jun. 2026.
Previous versions and publish date:
1.0.1 (2020-08-10 14:52), 1.0.2 (2021-06-14 10:50), 2.0.0 (2026-04-09 17:30)
Other packages that cited GapAnalysis R package
View GapAnalysis citation profile
Other R packages that GapAnalysis depends, imports, suggests or enhances
Complete documentation for GapAnalysis
Functions, R codes and Examples using the GapAnalysis R package
Some associated functions: CucurbitaData . CucurbitaRasters . ERSex . ERSin . FCSc_mean . FCSex . FCSin . GRSex . GRSin . GapAnalysis-package . Gbuffer . GetDatasets . OccurrenceCounts . ParamTest . ProtectedAreas . SRSex . SRSin . SummaryHTML . ecoregions . indicator . 
Some associated R codes: ERSex.R . ERSin.R . FCSc_mean.R . FCSex.R . FCSin.R . GRSex.R . GRSin.R . GapAnalysis-package.R . Gbuffer.R . GetDatasets.R . OccurrenceCounts.R . ParamTest.R . SRSex.R . SRSin.R . SummaryHTML.R . data.R . indicator.R .  Full GapAnalysis package functions and examples
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