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-4.7)spThin_0.2.0.zip(r-4.6)spThin_0.2.0.zip(r-4.5)
spThin_0.2.0.tgz(r-4.6-any)spThin_0.2.0.tgz(r-4.5-any)
spThin_0.2.0.tar.gz(r-4.7-any)spThin_0.2.0.tar.gz(r-4.6-any)
spThin_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
spThin/json (API)

# Install 'spThin' in R:

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

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

Datasets:

Heteromys_anomalus_South_America - Occurrence record locations for Heteromys anomalus

On CRAN:

8.27 score 2 stars 3 packages 358 scripts 1.9k downloads 35 mentions 4 exports 12 dependencies

Last updated from:731bd8602e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	114
source / vignettes	OK	149
linux-release-x86_64	OK	92
macos-release-arm64	OK	166
macos-oldrel-arm64	OK	180
windows-devel	OK	82
windows-release	OK	71
windows-oldrel	OK	79
wasm-release	OK	108

Exports:plotThin summaryThin thin thin.algorithm

Dependencies:dotCall64 evaluate fields highr knitr maps RColorBrewer Rcpp spam viridisLite xfun yaml

spThin example

Rendered fromspThin_vignette.Rmdusingknitr::knitr

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Occurrence record locations for Heteromys anomalus	Heteromys_anomalus_South_America
Plot diagnosis for results of thin function	plotThin
Summary method for results of thin function	summaryThin
Spatially thin species occurence data	thin
Implements random spatial thinning algorithm	thin.algorithm