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.


Reference manual

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0.4.2 by Jamie Spaulding, a year ago

Browse source code at

Authors: Jamie Spaulding and Keith Morris

Documentation:   PDF Manual  

GPL-3 license

Imports dplyr, forecast, ggmap, htmltools, igraph, leaflet, leafsync, lubridate, KernSmooth, pals, raster, Rcpp, rgdal, sp, stats

Suggests knitr, rmarkdown

See at CRAN