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: | 0.6.1 |
Imports: | Rcpp, sf, dplyr, glue, magrittr, rlang, methods, raster |
LinkingTo: | Rcpp |
Suggests: | tmap, sp, knitr, rgdal, testthat (≥ 2.1.0) |
Published: | 2020-04-16 |
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 |
Reference manual: | SpatialKDE.pdf |
Vignettes: |
SpatialKDE quickstart |
Package source: | SpatialKDE_0.6.1.tar.gz |
Windows binaries: | r-devel: SpatialKDE_0.6.1.zip, r-release: SpatialKDE_0.6.1.zip, r-oldrel: SpatialKDE_0.6.1.zip |
macOS binaries: | r-release: SpatialKDE_0.6.1.tgz, r-oldrel: SpatialKDE_0.6.1.tgz |
Old sources: | SpatialKDE archive |
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