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: |
0.1.30.3 |
| 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 |
Documentation:
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