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SpatialKDE  

Kernel Density Estimation for Spatial Data
View on CRAN: Click here


Download and install SpatialKDE package within the R console
Install from CRAN:
install.packages("SpatialKDE")

Install from Github:
library("remotes")
install_github("cran/SpatialKDE")

Install by package version:
library("remotes")
install_version("SpatialKDE", "0.8.2")



Attach the package and use:
library("SpatialKDE")
Maintained by
Jan Caha
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-16
Latest Update: 2023-02-18
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>.
How to cite:
Jan Caha (2019). SpatialKDE: Kernel Density Estimation for Spatial Data. R package version 0.8.2, https://cran.r-project.org/web/packages/SpatialKDE. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.5.0 (2019-12-16 12:40), 0.6.1 (2020-04-16 14:30), 0.6.2 (2020-11-28 21:20), 0.7.0 (2022-02-09 15:50), 0.8.0 (2022-10-26 18:45), 0.8.1 (2022-12-23 12:20)
Other packages that cited SpatialKDE R package
View SpatialKDE citation profile
Other R packages that SpatialKDE depends, imports, suggests or enhances
Complete documentation for SpatialKDE
Functions, R codes and Examples using the SpatialKDE R package
Some associated functions: create_grid . create_raster . kde . pipe . 
Some associated R codes: check_message_print.R . cpp11.R . create_grid.R . create_raster.R . kde.R . utils-pipe.R . utils.R . zzz.R .  Full SpatialKDE package functions and examples
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