_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-spatialkde 0.8.2
Propagated dependencies: r-vctrs@0.6.5 r-sf@1.0-19 r-rlang@1.1.4 r-raster@3.6-30 r-progress@1.2.3 r-magrittr@2.0.3 r-glue@1.8.0 r-dplyr@1.1.4 r-cpp11@0.5.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://jancaha.github.io/SpatialKDE/index.html
Licenses: Expat
Synopsis: Kernel Density Estimation for Spatial Data
Description:

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>.

Total results: 1