Package: habCluster 1.0.5

habCluster: Detecting Spatial Clustering Based on Connection Cost Between Grids

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. <bioRxiv:2022.05.06.490926>.

Authors:Qiang Dai

habCluster_1.0.5.tar.gz
habCluster_1.0.5.zip(r-4.5)habCluster_1.0.5.zip(r-4.4)habCluster_1.0.5.zip(r-4.3)
habCluster_1.0.5.tgz(r-4.4-x86_64)habCluster_1.0.5.tgz(r-4.4-arm64)habCluster_1.0.5.tgz(r-4.3-x86_64)habCluster_1.0.5.tgz(r-4.3-arm64)
habCluster_1.0.5.tar.gz(r-4.5-noble)habCluster_1.0.5.tar.gz(r-4.4-noble)
habCluster_1.0.5.tgz(r-4.4-emscripten)habCluster_1.0.5.tgz(r-4.3-emscripten)
habCluster.pdf |habCluster.html
habCluster/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/qiangxyz/habcluster/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.70 score 1 stars 5 scripts 112 downloads 2 exports 28 dependencies

Last updated 2 years agofrom:15ae13c31d. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64NOTENov 05 2024
R-4.5-linux-x86_64NOTENov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64OKNov 05 2024
R-4.4-mac-aarch64OKNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64OKNov 05 2024
R-4.3-mac-aarch64OKNov 05 2024

Exports:clusterraster2Graph

Dependencies:abindclassclassIntclicpp11DBIe1071glueigraphKernSmoothlatticelifecyclemagrittrMASSMatrixpkgconfigproxyrasterRcpprlangs2sfspstarsterraunitsvctrswk

introduction-to-habCluster

Rendered fromintroduction-to-habCluster.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2022-05-17
Started: 2022-05-02