sfhotspot: Hot-Spot Analysis with Simple Features

Identify and understand clusters of points (typically representing the locations of places or events) stored in simple-features (SF) objects. This is useful for analysing, for example, hot-spots of crime events. The package emphasises producing results from point SF data in a single step using reasonable default values for all other arguments, to aid rapid data analysis by users who are starting out. Functions available include kernel density estimation (for details, see Yip (2020) <doi:10.22224/gistbok/2020.1.12>), analysis of spatial association (Getis and Ord (1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>) and hot-spot classification (Chainey (2020) ISBN:158948584X).

Version: 0.2.0
Depends: R (≥ 2.10)
Imports: rlang, sf, SpatialKDE, spdep, tibble
Suggests: testthat (≥ 3.0.0), lubridate, covr
Published: 2022-02-14
Author: Matt Ashby ORCID iD [aut, cre]
Maintainer: Matt Ashby <matthew.ashby at ucl.ac.uk>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: sfhotspot results


Reference manual: sfhotspot.pdf


Package source: sfhotspot_0.2.0.tar.gz
Windows binaries: r-devel: sfhotspot_0.2.0.zip, r-release: sfhotspot_0.2.0.zip, r-oldrel: sfhotspot_0.2.0.zip
macOS binaries: r-release (arm64): sfhotspot_0.2.0.tgz, r-oldrel (arm64): sfhotspot_0.2.0.tgz, r-release (x86_64): sfhotspot_0.2.0.tgz, r-oldrel (x86_64): not available


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