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: |
0.7.0 |
Imports: |
Rcpp, sf, dplyr, glue, magrittr, rlang, vctrs, methods, raster |
LinkingTo: |
Rcpp |
Suggests: |
tmap, sp, knitr, rgdal, rmarkdown, testthat (≥ 2.99.0) |
Published: |
2022-02-09 |
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:
Linking:
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