CRAN/E | habCluster

habCluster

Detecting Spatial Clustering Based on Connection Cost Between Grids

Installation

About

Based on landscape connectivity, spatial boundaries were identified using community detection algorithm at grid level. Methods using raster as input and the value of each cell of the raster is the "smoothness" to indicate how easy the cell connecting with neighbor cells. Details about the 'habCluster' package methods can be found in Zhang et al. .

Key Metrics

Version 1.0.5
R ≥ 4.0.0
Published 2022-05-25 674 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks habCluster results
Language en-US

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Maintainer

Maintainer

Qiang Dai

daiqiang@cib.ac.cn

Authors

Qiang Dai

Material

README
NEWS
Reference manual
Package source

Vignettes

introduction-to-habCluster

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

habCluster archive

Depends

R ≥ 4.0.0
igraph ≥ 1.3.0
stars ≥ 0.5-0
sf ≥1.0.0
methods

Imports

Rcpp
raster

Suggests

knitr
rmarkdown
testthat ≥ 3.1.0
spelling

LinkingTo

Rcpp