Package: sapo 0.8.0

Lucas da Cunha Godoy

sapo: Spatial Association of Different Types of Polygon

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.

Authors:Lucas da Cunha Godoy [aut, cre]

sapo_0.8.0.tar.gz
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sapo_0.8.0.tgz(r-4.4-any)sapo_0.8.0.tgz(r-4.3-any)
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sapo.pdf |sapo.html
sapo/json (API)

# Install 'sapo' in R:
install.packages('sapo', repos = c('https://lcgodoy.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lcgodoy/sapo/issues

On CRAN:

4.48 score 1 stars 3 scripts 1 exports 13 dependencies

Last updated 27 days agofrom:70c64dab70. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winOKOct 12 2024
R-4.5-linuxOKOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:cmc_psat

Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk

Getting started

Rendered fromht.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2024-10-03
Started: 2024-09-17