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>.

Package details

AuthorJan Caha [aut, cre] (<https://orcid.org/0000-0003-0165-0606>)
MaintainerJan Caha <jan.caha@outlook.com>
LicenseMIT + file LICENSE
Version0.6.2
URL https://jancaha.github.io/SpatialKDE/index.html https://github.com/JanCaha/SpatialKDE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SpatialKDE")

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SpatialKDE documentation built on Nov. 29, 2020, 1:07 a.m.