Implementation of the HespDiv framework for hierarchical spatial subdivision of geographical occurrence data. The main function hespdiv() performs iterative spatially constrained subdivision of a study area to identify topologically contiguous clusters in geographic space using user-defined or preset subdivision methods. Additional functions provide tools for analysing subdivision results, visualizing hierarchical spatial structures, and evaluating robustness through sensitivity analyses and statistical testing. Some examples use the optional HDData data package, which is available from GitHub at Liudas-Dau/hespdiv_data. The methodology is described in Daumantas and Spiridonov (2024) <doi:10.1111/pala.12702>.
| Version: |
1.2.10 |
| Depends: |
R (≥ 4.0) |
| Imports: |
pracma, DescTools, ggplot2, viridis, ggrepel, grDevices, RColorBrewer, rgl, scales, graphics, igraph, gridExtra, grid, gridGraphics, stats, magick, future.apply, future, rlang |
| Suggests: |
HDData |
| OS_type: |
windows |
| Published: |
2026-05-21 |
| DOI: |
10.32614/CRAN.package.hespdiv (may not be active yet) |
| Author: |
Liudas Daumantas [aut, cre],
Andrej Spiridonov [aut],
Joseph O'Rourke [ctb, cph] (Author and copyright holder of
point-in-polygon code in src/pip.c),
Min Xu [ctb] (Contributor to point-in-polygon code in src/pip.c) |
| Maintainer: |
Liudas Daumantas <liudas.daumantas at chgf.vu.lt> |
| License: |
GPL-3 |
| URL: |
https://doi.org/10.1111/pala.12702,
https://github.com/Liudas-Dau/hespdiv,
https://github.com/Liudas-Dau/hespdiv_data |
| NeedsCompilation: |
yes |
| Citation: |
hespdiv citation info |
| Materials: |
README |
| CRAN checks: |
hespdiv results |