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btb  

Beyond the Border - Kernel Density Estimation for Urban Geography
View on CRAN: Click here


Download and install btb package within the R console
Install from CRAN:
install.packages("btb")

Install from Github:
library("remotes")
install_github("cran/btb")

Install by package version:
library("remotes")
install_version("btb", "0.2.2")



Attach the package and use:
library("btb")
Maintained by
Kim Antunez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-10
Latest Update: 2025-03-17
Description:
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) , Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition, Diggle, pp. 83-86, (2003) .
How to cite:
Kim Antunez (2016). btb: Beyond the Border - Kernel Density Estimation for Urban Geography. R package version 0.2.2, https://cran.r-project.org/web/packages/btb. Accessed 07 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 0.0.7 (2016-08-10 21:07), 0.1.2 (2016-10-26 18:36), 0.1.3 (2016-10-28 11:31), 0.1.14 (2017-04-03 17:31), 0.1.25 (2018-05-17 11:52), 0.1.30.1 (2020-05-26 07:13), 0.1.30.3 (2020-06-03 16:20), 0.1.30 (2018-05-23 13:38), 0.2.0 (2022-10-24 17:25), 0.2.1 (2025-03-17 12:30)
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