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Beyond the Border

CRAN_Status

btb (“Beyond the Border - Kernel Density Estimation for Urban Geography”) is an R package which provides functions dedicated to urban analysis and density estimation using the KDE (kernel density estimator) method.

A partial transposition of the package in Python is also available: btbpy.

Description

The btb_smooth() 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 btb_smooth(obs, epsg, cellsize, bandwith) for a classical kernel smoothing and automatic grid.
  • The second call mode is btb_smooth(obs, epsg, cellsize, bandwith, quantiles) for a geographically weighted median and automatic grid.
  • The third call mode is btb_smooth(obs, epsg, cellsize, bandwith, centroids) for a classical kernel smoothing and user grid.
  • The fourth call mode is btb_smooth(obs, epsg, cellsize, bandwith, quantiles, centroids) for a geographically weighted median and user grid.

Installation

btb is available on CRAN and can therefore be readily installed

install.packages("btb")

It is also possible to install it from the GitHub repository using devtools

install.packages("devtools")
devtools::install_github("InseeFr/btb")

Usage

Details on how to use the package can be found in its documentation. Some applications for spatial smoothing are presented in chapter 8 of the Handbook of Spatial Analysis published by Insee.

Contributions

Maintainer: Kim Antunez

Creators, authors and contributors: - Arlindo DOS SANTOS [cre], - François SEMECURBE [cre], - Kim ANTUNEZ [aut], - Julien PRAMIL [aut] - Auriane RENAUD [ctb], - Farida MAROUCHI [ctb] - Joachim TIMOTEO [ctb]

References

  • 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.