SpatialKDE: Kernel Density Estimation for Spatial Data
Calculate Kernel Density Estimation (KDE) for spatial data. The algorithm is inspired by the tool 'Heatmap' from 'QGIS'. The method is described by: Hart, T., Zandbergen, P. (2014) <doi:10.1108/PIJPSM-04-2013-0039>, Nelson, T. A., Boots, B. (2008) <doi:10.1111/j.0906-7590.2008.05548.x>, Chainey, S., Tompson, L., Uhlig, S.(2008) <doi:10.1057/palgrave.sj.8350066>.
| Version: | 0.8.2 |
| Imports: | sf,dplyr,glue,magrittr,rlang,vctrs, methods,raster |
| LinkingTo: | cpp11,progress |
| Suggests: | tmap,sp,knitr,rmarkdown,testthat (≥ 2.99.0),xml2 |
| Published: | 2023-02-18 |
| DOI: | 10.32614/CRAN.package.SpatialKDE |
| Author: | Jan Caha [aut, cre] |
| Maintainer: | Jan Caha <jan.caha at outlook.com> |
| License: | MIT + fileLICENSE |
| URL: | https://jancaha.github.io/SpatialKDE/index.html,https://github.com/JanCaha/SpatialKDE |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | SpatialKDE results |
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