Package: spThin 0.2.0

spThin: Functions for Spatial Thinning of Species Occurrence Records for Use in Ecological Models

A set of functions that can be used to spatially thin species occurrence data. The resulting thinned data can be used in ecological modeling, such as ecological niche modeling.

Authors:Matthew E. Aiello-Lammens [aut, cre], Robert A. Boria [aut], Aleksandar Radosavljevic [aut], Bruno Vilela [aut], Robert P. Anderson [aut], Robert Bjornson [ctb], Steve Weston [ctb]

spThin_0.2.0.tar.gz
spThin_0.2.0.zip(r-4.5)spThin_0.2.0.zip(r-4.4)spThin_0.2.0.zip(r-4.3)
spThin_0.2.0.tgz(r-4.4-any)spThin_0.2.0.tgz(r-4.3-any)
spThin_0.2.0.tar.gz(r-4.5-noble)spThin_0.2.0.tar.gz(r-4.4-noble)
spThin_0.2.0.tgz(r-4.4-emscripten)spThin_0.2.0.tgz(r-4.3-emscripten)
spThin.pdf |spThin.html
spThin/json (API)

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

Peer review:

Bug tracker:https://github.com/mlammens/spthin/issues

Datasets:

On CRAN:

4 exports 2 stars 4.42 score 11 dependencies 3 dependents 35 mentions 204 scripts 1.3k downloads

Last updated 5 years agofrom:731bd8602e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:plotThinsummaryThinthinthin.algorithm

Dependencies:dotCall64evaluatefieldshighrknitrmapsRcppspamviridisLitexfunyaml

spThin example

Rendered fromspThin_vignette.Rmdusingknitr::knitron Aug 20 2024.

Last update: 2019-11-14
Started: 2014-09-26