Package: sfhotspot
Title: Hot-Spot Analysis with Simple Features
Version: 1.0.0
Authors@R: 
    person("Matt", "Ashby", , "matthew.ashby@ucl.ac.uk", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-4201-9239"))
Description: 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).
License: MIT + file LICENSE
Language: en-GB
URL: http://pkgs.lesscrime.info/sfhotspot/
BugReports: https://github.com/mpjashby/sfhotspot/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: cli, ggplot2, rlang, sf, SpatialKDE, spdep, tibble
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0), knitr, lubridate, quarto, ggspatial
LazyData: true
Config/testthat/edition: 3
VignetteBuilder: quarto
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://mpjashby.r-universe.dev
Date/Publication: 2025-07-29 11:51:37 UTC
RemoteUrl: https://github.com/mpjashby/sfhotspot
RemoteRef: HEAD
RemoteSha: 6b3caf7d27690a15072cf5d77d2fbd6f33185808
NeedsCompilation: no
Packaged: 2026-07-24 05:21:05 UTC; root
Author: Matt Ashby [aut, cre] (ORCID: <https://orcid.org/0000-0003-4201-9239>)
Maintainer: Matt Ashby <matthew.ashby@ucl.ac.uk>