https://soleneco.r-universe.devRecent package updates in solenecoR-universehttps://github.com/soleneco.pnghttps://soleneco.r-universe.devTue, 20 Jan 2026 14:05:01 GMTsolene.colin@insee.fr (Solène Colin)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) <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>.https://github.com/r-universe/inseefr/actions/runs/39558864973Tue, 20 Jan 2026 14:05:01 GMTbtb0.2.2successhttps://inseefr.r-universe.devhttps://github.com/inseefr/btblogo.Rmdlogo.htmlSmoothed logo created with btb !2022-10-22 10:05:112026-01-15 09:11:17btb.Rmdbtb.htmlSpatial smoothing with btb R package2022-10-20 19:19:562025-03-13 12:50:46