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.
| Version: |
0.4.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, forecast, ggmap, htmltools, igraph, leaflet, leafsync, lubridate, KernSmooth, pals, raster, Rcpp, rgdal, sp, stats |
| Suggests: |
knitr, rmarkdown |
| Published: |
2020-05-20 |
| Author: |
Jamie Spaulding and Keith Morris |
| Maintainer: |
Jamie Spaulding <jspauldi at mix.wvu.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Citation: |
rcrimeanalysis citation info |
| Materials: |
NEWS |
| CRAN checks: |
rcrimeanalysis results |
Documentation:
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