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: |
0.8.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
ggplot2, rlang, sf, SpatialKDE, spdep, tibble |
| Suggests: |
testthat (≥ 3.0.0), lubridate, knitr, rmarkdown, ggspatial |
| Published: |
2023-09-19 |
| DOI: |
10.32614/CRAN.package.sfhotspot |
| Author: |
Matt Ashby  [aut,
cre] |
| Maintainer: |
Matt Ashby <matthew.ashby at ucl.ac.uk> |
| BugReports: |
https://github.com/mpjashby/sfhotspot/issues |
| License: |
MIT + file LICENSE |
| URL: |
http://pkgs.lesscrime.info/sfhotspot/ |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Materials: |
README NEWS |
| CRAN checks: |
sfhotspot results |
Documentation:
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