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) , Nelson, T. A., Boots, B. (2008) , Chainey, S., Tompson, L., Uhlig, S.(2008) .


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install.packages("SpatialKDE")

0.5.0 by Jan Caha, 4 months ago


https://jancaha.github.io/SpatialKDE/index.html, https://github.com/JanCaha/SpatialKDE


Browse source code at https://github.com/cran/SpatialKDE


Authors: Jan Caha [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, sf, dplyr, glue, magrittr, rlang, methods, raster

Suggests tmap, sp, knitr, testthat

Linking to Rcpp


See at CRAN