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sapo
View on CRAN: Click
here
Download and install sapo package within the R console
Install from CRAN:
install.packages("sapo")
Install from Github:
library("remotes")
install_github("cran/sapo")
Install by package version:
library("remotes")
install_version("sapo", "0.8.0")
Attach the package and use:
library("sapo")
Maintained by
Lucas da Cunha Godoy
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sapo . https://github.com/lcgodoy/sapo/issues/ . https://github.com/lcgodoy/sapo/ . sapo citation info . sapo results . sapo.pdf . sapo_0.8.0.tar.gz . sapo_0.8.0.zip . sapo_0.8.0.zip . sapo_0.8.0.zip . sapo_0.8.0.tgz . sapo_0.8.0.tgz . sapo_0.8.0.tgz . sapo_0.8.0.tgz . sapo_0.8.0.tgz . sapo_0.8.0.tgz . https://CRAN.R-project.org/package=sapo .
First Published: 2024-10-11
Latest Update: 2024-10-11
Description:
In ecology, spatial data is often represented using polygons. These polygons can represent a variety of spatial entities, such as ecological patches, animal home ranges, or gaps in the forest canopy.Researchers often need to determine if two spatial processes, represented by these polygons, are independent of each other. For instance, they might want to test if the home range of a particular animal species is influenced by the presence of a certain type of vegetation.To address this, Godoy et al. (2022) (<doi:10.1016/j.spasta.2022.100695>) developed conditional Monte Carlo tests. These tests are designed to assess spatial independence while taking into account the shape and size of the polygons.
How to cite:
Lucas da Cunha Godoy (2024). sapo: Spatial Association of Different Types of Polygon. R package version 0.8.0, https://cran.r-project.org/web/packages/sapo. Accessed 04 Mar. 2025.
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