Package Installation | Data: crimes | Spatial Functionality | Temporal Functionality | Spatio-Temporal Functionality
Package: rcrimeanalysis 0.5.0
Jamie Spaulding
rcrimeanalysis: An Implementation of Crime Analysis Methods
An implementation of functions for the analysis of crime incident or records management system data. The package implements analysis algorithms scaled for city or regional crime analysis units. The package provides functions for kernel density estimation for crime heat maps, geocoding using the 'Google Maps' API, identification of repeat crime incidents, spatio-temporal map comparison across time intervals, time series analysis (forecasting and decomposition), detection of optimal parameters for the identification of near repeat incidents, and near repeat analysis with crime network linkage.
Authors:
rcrimeanalysis_0.5.0.tar.gz
rcrimeanalysis_0.5.0.zip(r-4.7-any)rcrimeanalysis_0.5.0.zip(r-4.6-any)rcrimeanalysis_0.5.0.zip(r-4.5-any)
rcrimeanalysis_0.5.0.tgz(r-4.6-any)rcrimeanalysis_0.5.0.tgz(r-4.5-any)
rcrimeanalysis_0.5.0.tar.gz(r-4.7-any)rcrimeanalysis_0.5.0.tar.gz(r-4.6-any)
rcrimeanalysis_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rcrimeanalysis/json (API)
| # Install 'rcrimeanalysis' in R: |
| install.packages('rcrimeanalysis', repos = c('https://jsspaulding.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jsspaulding/rcrimeanalysis/issues
Datasets:
- crimes - Example data from the Chicago Data Portal
Last updated from:da66ddb9ef. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 268 | ||
| source / vignettes | OK | 257 | ||
| linux-release | OK | 372 | ||
| macos-release | OK | 259 | ||
| macos-oldrel | OK | 249 | ||
| windows-devel | OK | 213 | ||
| windows-release | OK | 202 | ||
| windows-oldrel | OK | 218 | ||
| wasm-release | OK | 153 |
Exports:geocode_addressid_repeatkde_int_compkde_mapnear_repeat_analysisnear_repeat_evalts_daily_decompts_forecastts_month_decomp
Dependencies:askpassbase64encbitopsbslibcachemclassclassIntclicolorspacecpp11crosstalkcurlDBIdichromatdigestdplyre1071evaluatefarverfastmapfontawesomeforecastfracdifffsgenericsggmapggplot2gluegtablehighrhtmltoolshtmlwidgetshttrigraphisobandjpegjquerylibjsonliteKernSmoothknitrlabelinglatticelazyevalleafletleaflet.providersleafsynclifecyclelmtestlubridatemagrittrmapprojmapsMatrixmemoisemimenlmennetopensslpalspillarpkgconfigplyrpngproxypurrrR6rappdirsrasterRColorBrewerRcppRcppArmadillorlangrmarkdowns2S7sassscalessfspstringistringrsysterratibbletidyrtidyselecttimechangetimeDatetinytexunitsurcautf8vctrsviridisLitewithrwkxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example data from the Chicago Data Portal | crimes |
| Batch Geocoding of Physical Addresses using the Google Maps API | geocode_address |
| Identify Repeat Crime Incidents | id_repeat |
| Comparison of KDE Maps Across Specified Time Intervals | kde_int_comp |
| Kernel Density Estimation and Heat Map Generation for Crime Incidents | kde_map |
| Near Repeat Analysis of Crime Incidents with Crime Linkage Output | near_repeat_analysis |
| Identification of Optimal Time and Distance Parameters for Near Repeat Analysis | near_repeat_eval |
| Time Series Forecast and Decomposition for Daily Crime Data | ts_daily_decomp |
| Time Series Forecast for Daily Crime Data | ts_forecast |
| Time Series Decomposition for Monthly Crime Data | ts_month_decomp |