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) .


Reference manual

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0.6.2 by Jan Caha, a year ago,

Browse source code at

Authors: Jan Caha [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

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

Suggests tmap, sp, knitr, rgdal, rmarkdown, testthat

Linking to Rcpp

See at CRAN