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CrimeStat III--A Spatial Statistics Program for the Analysis of Crime Incident Locations

NCJ Number
209264
Date Published
November 2004
Length
874 pages
Author(s)
Ned Levin
Agencies
NIJ-Sponsored
Publication Type
Best Practice/State-of-the-Art Review
Grant Number(s)
2002-IJ-CX-0007
Annotation
This report describes the use of CrimeStat, a spatial statistics software package capable of analyzing crime incident location data.
Abstract
The program is designed to operate with large crime incident datasets and will interface with most desktop geographic information systems (GIS). CrimeStat is a full-featured Windows XP Professional program that uses a graphical interface with database and expanded statistical functions. In fact, CrimeStat offers an advantage over other GIS software by offering the statistical capability of plotting different incident locations and the ability to select subsets of the data to analyze. Thus, the quantification capacity of this program allows more precise identification and the ability to compare different types of incidents, resulting in statistical summaries and models of crime incident data. Part 1 of the report offers an overview of the program, including its possible uses, program requirements, installation instructions, and options. Data setup, spatial analysis and modeling, and how to enter data into CrimeStat are described. Part 2 focuses on the spatial description of crime incident data, including discussions of spatial distribution, distance analysis, and hot spot analysis. Part 3 describes the spatial modeling capabilities of CrimeStat, discussing Kernel Density estimation, space-time analysis, and journey to crime estimation. Part 4 focuses on crime travel demand modeling, including an overview of this modeling process, data preparation for crime travel demand modeling, modeling trip generation, trip distribution, model split analysis and tools, and network assignment. Two case studies illustrate crime travel demand modeling. Tables, figures, references, appendixes
Date Created: September 27, 2017