btb
0.2.2Beyond the Border - Kernel Density Estimation for Urban Geography
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-05-0112 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2213 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-1812 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1013 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 75%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 7%
Downloads
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/inseefr/btb on 2026-08-02.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
11 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.2.2Latest
- RR 4.5.0 released · 2025-04-11
- 0.2.12025-03-17 · diff ↗
- unarchivedReturned to CRAN2025-03-17
- archivedRemoved from CRAN2025-02-28issues were not corrected despite reminders
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.2.02022-10-24 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.30.32020-06-03 · diff ↗
- 0.1.30.12020-05-26 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.302018-05-23 · diff ↗
Package metadata
- First published
- 2016-08-10
- Total releases
- 11 / 10 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.3.0
- Bundled data
- 1.5 MB / 5 files
- Download size
- 812 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet