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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>.
Getting started
Browse package contents
Package details |
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| Author | Jan Caha [aut, cre] (<https://orcid.org/0000-0003-0165-0606>) |
| Maintainer | Jan Caha <jan.caha@outlook.com> |
| License | MIT + file LICENSE |
| Version | 0.8.2 |
| URL | https://jancaha.github.io/SpatialKDE/index.html https://github.com/JanCaha/SpatialKDE |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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