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SpatialKDE

0.8.2

Kernel Density Estimation for Spatial Data

2packages depend
6.5Kdownloads / year
80.4%test coverage
13/13checks pass

Overview

About
Maintained by Jan CahaFirst published 2019-12-167 releasesCRAN page ↗GitHub ↗

Calculate Kernel Density Estimation (KDE) for spatial data. The algorithm is inspired by the tool 'Heatmap' from 'QGIS'. The method is described by: Hart, T., Zandbergen, P. (2014) doi:10.1108/PIJPSM-04-2013-0039, Nelson, T. A., Boots, B. (2008) doi:10.1111/j.0906-7590.2008.05548.x, Chainey, S., Tompson, L., Uhlig, S.(2008) doi:10.1057/palgrave.sj.8350066.

Install

Health

CRAN checks
13OK
Slowest check: 7.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.66
80.4%
Coverage · measured lines
80%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 125 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

6.5K
CRAN downloads in the past year
Rank #6,048 · ~18/day · ~538/mo
Daily download trend is not available in this view yet.
39130 days
1.3K90 days
6.5K1 year
Compare downloads with other packages →
Also on448 r2u16 autocran

Repository

Repository
12Stars
0Forks
0Open issues
0Open PRs
6Releases
203Commits
3Contributors
rspatialkdeqgis
203 commits · Last activity 2023-02-18 · 0% stars, 30d

Stars over time

2025-07-29 · 102026-07-07 · 12

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/jancaha/spatialkde on 2026-08-16.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.8.2Latest
    2023-02-18 · current release · diff ↗
  • 0.8.1
    2022-12-23 · diff ↗
  • 0.8.0
    2022-10-26 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.7.0
    2022-02-09 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.6.2
    2020-11-28 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.6.1
    2020-04-16 · diff ↗
  • 0.5.0
    2019-12-16
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-12-16
Total releases
7 / 7 yrs
License
MIT + file LICENSE OSI
Download size
85 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SpatialKDE")
Caha, J. (2023). SpatialKDE: Kernel Density Estimation for Spatial Data (Version 0.8.2) [Computer software]. https://doi.org/10.32614/CRAN.package.SpatialKDE

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SpatialKDE version 0.8.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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