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>.
| Version: | 1.0.5 |
| Depends: | R (≥ 4.0.0), igraph (≥ 1.3.0), stars (≥ 0.5-0), sf (≥ 1.0.0), methods |
| Imports: | Rcpp, raster |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.1.0), spelling |
| Published: | 2022-05-25 |
| Author: | Qiang Dai |
| Maintainer: | Qiang Dai <daiqiang at cib.ac.cn> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | habCluster results |
| Reference manual: | habCluster.pdf |
| Vignettes: |
introduction-to-habCluster |
| Package source: | habCluster_1.0.5.tar.gz |
| Windows binaries: | r-devel: habCluster_1.0.5.zip, r-release: habCluster_1.0.5.zip, r-oldrel: habCluster_1.0.5.zip |
| macOS binaries: | r-release (arm64): habCluster_1.0.5.tgz, r-oldrel (arm64): habCluster_1.0.5.tgz, r-release (x86_64): habCluster_1.0.5.tgz, r-oldrel (x86_64): habCluster_1.0.5.tgz |
| Old sources: | habCluster archive |
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