Package: sfhotspot
Title: Hot-Spot Analysis with Simple Features
Version: 0.7.1
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
RoxygenNote: 7.2.3
Imports: ggplot2, rlang, sf, SpatialKDE, spdep, tibble
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0), lubridate, knitr, rmarkdown, ggspatial
LazyData: true
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-02-10 19:59:26 UTC; mattashby
Author: Matt Ashby [aut, cre] (<https://orcid.org/0000-0003-4201-9239>)
Maintainer: Matt Ashby <matthew.ashby@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2023-02-10 20:40:02 UTC
Built: R 4.1.3; ; 2023-04-17 17:44:08 UTC; windows
