kde_map

This function computes a kernel density estimate of crime
 incident locations and returns a 'Leaflet' map of the incidents. The data
 is based on the Chicago Police Department RMS structure and populates
 pop-up windows with the incident location for each incident.

methods

hplot

dynamic

spatial

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.

Jamie Spaulding

rcrimeanalysis

An Implementation of Crime Analysis Methods

kde_map function

<dl><dt>data</dt>
<dd>Data frame of crime or RMS data. See provided Chicago Data Portal
example for reference</dd>
<dt>pts</dt>
<dd>Either true or false. Dictates whether the incident points will
be plotted on the map widget. If <code>NULL</code>, the default value is <code>TRUE</code>.</dd></dl>

Arguments

Author

Kernel Density Estimation and Heat Map Generation for Crime Incidents — kde_map

<dl>

<dt>data</dt>
<dd>Data frame of crime or RMS data. See provided Chicago Data Portal
example for reference</dd>


<dt>pts</dt>
<dd>Either true or false. Dictates whether the incident points will
be plotted on the map widget. If <code>NULL</code>, the default value is <code>TRUE</code>.</dd>

</dl>

kde_map: Kernel Density Estimation and Heat Map Generation for Crime Incidents

Description

Usage

Value

Arguments

Author

Examples