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habCluster
View on CRAN: Click
here
Download and install habCluster package within the R console
Install from CRAN:
install.packages("habCluster")
Install from Github:
library("remotes")
install_github("cran/habCluster") Install by package version:
library("remotes")
install_version("habCluster", "1.0.5") Attach the package and use:
library("habCluster")
Maintained by
Qiang Dai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-18
Latest Update:
Description:
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.
.
How to cite:
Qiang Dai (2022). habCluster: Detecting Spatial Clustering Based on Connection Cost Between Grids. R package version 1.0.5, https://cran.r-project.org/web/packages/habCluster. Accessed 05 Jun. 2026.
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Complete documentation for habCluster
Functions, R codes and Examples using
the habCluster R package
Some associated functions: cluster . habCluster-package . raster2Graph .
Some associated R codes: RcppExports.R . cluster.R . habCluster-package.R . raster2Graph.R . unload.R . Full habCluster package functions and examples
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