The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=sfhotspot
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.