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:
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-4.5-x86_64)habCluster_1.0.5.tgz(r-4.5-arm64)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')) |
Bug tracker:https://github.com/qiangxyz/habcluster/issues
Last updated 3 years agofrom:15ae13c31d. Checks:8 OK, 4 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 05 2025 |
| R-4.5-win-x86_64 | NOTE | Mar 05 2025 |
| R-4.5-mac-x86_64 | NOTE | Mar 05 2025 |
| R-4.5-mac-aarch64 | NOTE | Mar 05 2025 |
| R-4.5-linux-x86_64 | NOTE | Mar 05 2025 |
| R-4.4-win-x86_64 | OK | Mar 05 2025 |
| R-4.4-mac-x86_64 | OK | Mar 05 2025 |
| R-4.4-mac-aarch64 | OK | Mar 05 2025 |
| R-4.4-linux-x86_64 | OK | Mar 05 2025 |
| R-4.3-win-x86_64 | OK | Mar 05 2025 |
| R-4.3-mac-x86_64 | OK | Mar 05 2025 |
| R-4.3-mac-aarch64 | OK | Mar 05 2025 |
Exports:clusterraster2Graph
Dependencies:abindclassclassIntclicpp11DBIe1071glueigraphKernSmoothlatticelifecyclemagrittrMASSMatrixpkgconfigproxyrasterRcpprlangs2sfspstarsterraunitsvctrswk
