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: | 0.1.30.3 |
| 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: | 2020-06-03 |
| 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 |
| Reference manual: | btb.pdf |
| Package source: | btb_0.1.30.3.tar.gz |
| Windows binaries: | r-devel: btb_0.1.30.3.zip, r-release: btb_0.1.30.3.zip, r-oldrel: btb_0.1.30.3.zip |
| macOS binaries: | r-release: btb_0.1.30.3.tgz, r-oldrel: btb_0.1.30.3.tgz |
| Old sources: | btb archive |
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