Package: sfhotspot 0.8.0
Matt Ashby
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).
Authors:
sfhotspot_0.8.0.tar.gz
sfhotspot_0.8.0.zip(r-4.5)sfhotspot_0.8.0.zip(r-4.4)sfhotspot_0.8.0.zip(r-4.3)
sfhotspot_0.8.0.tgz(r-4.4-any)sfhotspot_0.8.0.tgz(r-4.3-any)
sfhotspot_0.8.0.tar.gz(r-4.5-noble)sfhotspot_0.8.0.tar.gz(r-4.4-noble)
sfhotspot_0.8.0.tgz(r-4.4-emscripten)sfhotspot_0.8.0.tgz(r-4.3-emscripten)
sfhotspot.pdf |sfhotspot.html✨
sfhotspot/json (API)
NEWS
| # Install 'sfhotspot' in R: |
| install.packages('sfhotspot', repos = c('https://mpjashby.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mpjashby/sfhotspot/issues
- memphis_population - Populations of census blocks in Memphis in 2020
- memphis_robberies - Personal robberies in Memphis in 2019
- memphis_robberies_jan - Personal robberies in Memphis in January 2019
hotspothotspotshotspots-analysismappingmapping-tools
Last updated 1 years agofrom:4bbed40b18. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:autolayerautoplothotspot_changehotspot_classifyhotspot_classify_paramshotspot_counthotspot_dual_kdehotspot_gistarhotspot_gridhotspot_kde
Dependencies:bootclassclassIntclicolorspacecpp11crayonDBIdeldirdplyre1071fansifarvergenericsggplot2gluegtablehmsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigprettyunitsprogressproxyR6rasterRColorBrewerRcpprlangs2scalessfspSpatialKDEspDataspdepterratibbletidyselectunitsutf8vctrsviridisLitewithrwk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot map of hotspot classifications | autoplot.hspt_c |
| Plot map of changes in grid counts | autolayer.hspt_d autoplot.hspt_d |
| Plot map of kernel-density values | autolayer.hspt_k autoplot.hspt_k |
| Plot map of grid counts | autolayer.hspt_n autoplot.hspt_n |
| Identify change in hotspots over time | hotspot_change |
| Classify hot-spots | hotspot_classify |
| Control the parameters used to classify hotspots | hotspot_classify_params |
| Count points in cells in a two-dimensional grid | hotspot_count |
| Estimate the relationship between the kernel density of two layers of points | hotspot_dual_kde |
| Identify significant spatial clusters of points | hotspot_gistar |
| Create either a rectangular or hexagonal two-dimensional grid | hotspot_grid |
| Estimate two-dimensional kernel density of points | hotspot_kde |
| Populations of census blocks in Memphis in 2020 | memphis_population |
| Personal robberies in Memphis in 2019 | memphis_robberies |
| Personal robberies in Memphis in January 2019 | memphis_robberies_jan |