Package: btb 0.2.1

Solène Colin

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, 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>.

Authors: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]

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btb.pdf |btb.html
btb/json (API)
NEWS

# Install 'btb' in R:
install.packages('btb', repos = c('https://inseefr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/inseefr/btb/issues

Pkgdown site:https://inseefr.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

statistical-packagecpp

6.50 score 15 stars 15 scripts 291 downloads 7 exports 33 dependencies

Last updated 15 days agofrom:6e4d4d17d0. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-win-x86_64OKMar 17 2025
R-4.5-mac-x86_64OKMar 17 2025
R-4.5-mac-aarch64OKMar 17 2025
R-4.5-linux-x86_64OKMar 17 2025
R-4.4-win-x86_64OKMar 17 2025
R-4.4-mac-x86_64OKMar 17 2025
R-4.4-mac-aarch64OKMar 17 2025
R-4.4-linux-x86_64OKMar 17 2025
R-4.3-win-x86_64OKMar 17 2025
R-4.3-mac-x86_64OKMar 17 2025
R-4.3-mac-aarch64OKMar 17 2025

Exports:%>%btb_add_centroidsbtb_add_inspirebtb_ptsToGridbtb_smoothdfToGridkernelSmoothing

Dependencies:BHclassclassIntcliDBIdplyre1071fansigenericsglueKernSmoothlifecyclemagrittrmaplegendmapsfMASSpillarpkgconfigproxyR6RcppRcppArmadilloRcppParallelrlangs2sftibbletidyselectunitsutf8vctrswithrwk

Smoothed logo created with btb !

Rendered fromlogo.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2025-03-13
Started: 2022-10-22

Spatial smoothing with btb R package

Rendered frombtb.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2025-03-13
Started: 2022-10-20