Space-Time Analysis (CrimeStat IV: A Spatial Statistics Program for the Analysis of Crime Incident Locations, Version 4.0)

• NCJ Number: 242972
• Author(s): Ned Levine
• Date Published: June 2013
• Length: 52 pages
• Grant Number(s): 2005-IJ-CX-K037
• Agencies: NIJ-Sponsored
• Publication Type: Technical Assistance; Instructional Material (Programmed)
• Award: The Expansion of the Crimestat Spatial Statistics Program to Incorporate Spatial Regression, Space-Time Clustering, Bayesian Journey to Crime Modeling, Incident Detection Methodology and Sparse Matrix

Annotation

This is the third of five chapters on "Spatial Modeling I" from the user manual for CrimeStat IV, a spatial statistics package that can analyze crime incident location data.

Abstract

This chapter, "Space-Time Analysis," discusses four techniques that are used by CrimeStat to analyze the interaction between space and time for targeted events. These techniques are the Knox index, the Mantel index, the Spatial-temporal Moving Average, and Correlated Walk Analysis. Before discussing in detail each of these techniques for ascertaining the time for the occurrence of specific events in a particular space, the chapter discusses the measurement of time in CrimeStat and space-time interaction. Examples of the application of these techniques focus on the temporal patterns of various crime types in particular spaces as well as the space-time characteristics of the offending of individuals. The limitations of each technique are also discussed. An attachment to the chapter reports on the tracking of a burglary gang with the Correlated Walk Analysis. 19 references and extensive data tables and figures that include computer screens and maps from examples