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rcrimeanalysis (version 0.5.0)

An Implementation of Crime Analysis Methods

Description

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.

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Version

Install

install.packages('rcrimeanalysis')

Monthly Downloads

201

Version

0.5.0

License

GPL-3

Maintainer

Jamie Spaulding

Last Published

May 18th, 2023

Functions in rcrimeanalysis (0.5.0)

near_repeat_eval

Identification of Optimal Time and Distance Parameters for Near Repeat Analysis
id_repeat

Identify Repeat Crime Incidents
near_repeat_analysis

Near Repeat Analysis of Crime Incidents with Crime Linkage Output
ts_forecast

Time Series Forecast for Daily Crime Data
ts_daily_decomp

Time Series Forecast and Decomposition for Daily Crime Data
geocode_address

Batch Geocoding of Physical Addresses using the Google Maps API
ts_month_decomp

Time Series Decomposition for Monthly Crime Data
crimes

Example data from the Chicago Data Portal
kde_int_comp

Comparison of KDE Maps Across Specified Time Intervals
kde_map

Kernel Density Estimation and Heat Map Generation for Crime Incidents