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 + file LICENSE | 
| 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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