Kernel Density Estimation for Spatial Data R package SpatialKDE version 0.8.2 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>. Software Imports: sf, dplyr, glue, magrittr, rlang, vctrs, methods, raster LinkingTo: cpp11, progress Suggests: tmap, sp, knitr, rmarkdown, testthat (>= 2.99.0), xml2 Jan Caha <jan.caha@outlook.com> Comprehensive R Archive Network (CRAN) Jan Caha [aut, cre] (ORCID: <https://orcid.org/0000-0003-0165-0606>) MIT + file LICENSE (https://CRAN.R-project.org/package=SpatialKDE/LICENSE) 2023-02-18 application/tgz https://CRAN.R-project.org/package=SpatialKDE doi:10.32614/CRAN.package.SpatialKDE