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 | 
Documentation:
Downloads:
Reverse dependencies:
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