Description
Kernel Density Estimation for Spatial Data.
Description
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>.
README.md
SpatialKDE
Github actions: 
Travis build - R-devel: 
Cran Status:
R package to calculate spatial KDE. Inspired by the tool Heatmap tool from QGIS. Help for Heatmap tool can be found here, the help is for older version of the tool, but the window of the tool looks relatively the same.
Documentation
Instalation
If you have RTools (Windows), or any C++ compiler (Linux, macOS) installed then you can use:
remotes::install_github("JanCaha/SpatialKDE")
Compiled Window binaries
For Windows the binaries are available from release page.
The instalation can be done from R using command, where you just replace x.x.x with the current version (e.g. 0.1.0):
install.packages('SpatialKDE_x.x.x.zip', repos = NULL, type = "win.binary")