Encoding: UTF-8 Package: btb Type: Package Title: Beyond the Border - Kernel Density Estimation for Urban Geography Description: 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, bandwidth) for a classical kernel smoothing and automatic grid. The second call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, quantiles) for a geographically weighted median and automatic grid. The third call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, centroids) for a classical kernel smoothing and user grid. The fourth call mode is kernelSmoothing(obs, epsg, cellsize, bandwidth, 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) , Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) . Version: 0.2.2 License: GPL (>= 2) Date: 2026-01-20 Imports: methods, Rcpp (>= 1.0.9), sf, RcppParallel, magrittr Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Depends: R (>= 3.3.0), dplyr, mapsf Authors@R: c( person("Arlindo", "Dos Santos", role = c("aut")), person("François", "Sémécurbe", role = c("aut")), person("Julien", "Pramil", role = c("aut")), person("Solène", "Colin", role = c("cre", "ctb"), email = "solene.colin@insee.fr"), person("Kim", "Antunez", role = c("ctb")), person("Auriane", "Renaud", role = c("ctb")), person("Farida", "Marouchi", role = c("ctb")), person("Joachim", "Timotéo", role = c("ctb")), person("Institut national de la statistique et des études économiques", role = c("cph")) ) Maintainer: Solène Colin LinkingTo: Rcpp, RcppParallel, BH (>= 1.60.0-1), RcppArmadillo LazyData: true URL: https://github.com/InseeFr/btb, https://inseefr.github.io/btb/ BugReports: https://github.com/InseeFr/btb/issues RoxygenNote: 7.3.2 Config/testthat/edition: 3 VignetteBuilder: knitr NeedsCompilation: yes Packaged: 2026-01-20 14:07:44 UTC; onyxia Author: Arlindo Dos Santos [aut], François Sémécurbe [aut], Julien Pramil [aut], Solène Colin [cre, ctb], Kim Antunez [ctb], Auriane Renaud [ctb], Farida Marouchi [ctb], Joachim Timotéo [ctb], Institut national de la statistique et des études économiques [cph] Repository: CRAN Date/Publication: 2026-01-20 16:30:02 UTC