Other packages > Find by keyword >

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 28 Oct. 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)
Other packages that cited btb R package
View btb citation profile
Other R packages that btb depends, imports, suggests or enhances
Complete documentation for btb
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA