btb: Beyond the Border - Kernel Density Estimation for Urban Geography

The kernelSmoothing() function allows you to square and smooth geolocated data. It calculates a classical kernel smoothing (conservative) or a geographically weighted median. There are four major call modes of the function. The first call mode is kernelSmoothing(obs, epsg, cellsize, bandwith) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwith, quantiles, centroids) for a geographically weighted median and user grid. Geographically weighted summary statistics : a framework for localised exploratory data analysis, C.Brunsdon & al., in Computers, Environment and Urban Systems C.Brunsdon & al. (2002) <doi:10.1016/S0198-9715(01)00009-6>, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) <doi:10.1080/13658816.2014.937718>.

Version: 0.1.30
Depends: R (≥ 3.3.0)
Imports: methods, Rcpp (≥ 0.11.3), sp, sf, RcppParallel
LinkingTo: Rcpp, RcppParallel, BH (≥ 1.60.0-1), RcppArmadillo
Suggests: cartography
Published: 2018-05-23
Author: Arlindo Dos Santos [cre], Francois Semecurbe [drt, aut], Auriane Renaud [ctb], Cynthia Faivre [ctb], Thierry Cornely [ctb], Farida Marouchi [ctb], Farida Marouchi [ctb]
Maintainer: Arlindo Dos Santos <Arlindo.Dos-Santos at insee.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: btb results

Downloads:

Reference manual: btb.pdf
Package source: btb_0.1.30.tar.gz
Windows binaries: r-prerelease: btb_0.1.30.zip, r-release: btb_0.1.30.zip, r-oldrel: btb_0.1.30.zip
macOS binaries: r-prerelease: btb_0.1.30.tgz, r-release: btb_0.1.30.tgz, r-oldrel: btb_0.1.30.tgz
Old sources: btb archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=btb to link to this page.