crimelinkage (version 0.0.3)

makeGroups: Generates crime groups from crime series data

Description

This function generates crime groups that are useful for making unlinked pairs and for agglomerative linkage.

Usage

makeGroups(X, method = 1)

Arguments

X

crime series data (generated from makeSeriesData) with offender ID (offenderID), crime ID (crimeID), and the event datetime (TIME)

method

Method==1 (default) forms groups by finding the maximal connected offender subgraph. Method==2 forms groups from the unique group of co-offenders. Method==3 forms from groups from offenderIDs

Value

• vector of crime group labels

Details

Method==1 forms groups by finding the maximal connected offender subgraph. So if two offenders have ever co-offended, then all of their crimes are assigned to the same group. Method==2 forms groups from the unique group of co-offenders. So for two offenders who co-offended. All the co-offending crimes are in one group and any crimes committed individually are assigned to another group. Method==3 forms groups from the offender(s) responsible. So a crime committed by multiple people is assinged to multiple groups.

Examples

data(crimes)
 data(offenders)
 seriesData = makeSeriesData(crimedata=crimes,offenderTable=offenders)
 groups = makeGroups(seriesData,method=1)
 head(groups,10)