IACA, 2011. — 147 p.
This book was written by Christopher W. Bruce and Susan C. Smith for police crime analysts seeking to use CrimeStat for tactical, strategic, and administrative crime analysis.
Spatial Statistics in Crime Analysis.
CrimeStat III.
A Note on CrimeStat Analyst.
Hardware and Software.
Notes on This Workbook.
Summary and Further Reading.
Working with Data.
Primary File Setup.
Reference Files.
Measurement Parameters.
Exporting Data from CrimeStat.
Summary and Further Reading.
Spatial Distribution.
Central Tendency and Dispersion.
Using Spatial Distribution for Tactics and Strategies.
Summary and Further Reading.
Autocorrelation and Distance Analysis.
Spatial Autocorrelation.
Nearest Neighbor Analysis.
Assigning Primary Points to Secondary Points.
Summary and Further Reading.
Hot Spot Analysis.
Mode and Fuzzy Mode.
Nearest Neighbor Hierarchical Spatial Clustering (NNH).
Risk-Adjusted NNH.
Spatial and Temporal Analysis of Crime (STAC).
K-means Clustering.
Summary of Hot Spot Methods.
For Further Reading.
Kernel Density Estimation.
The Mechanics of KDE.
KDE Parameters.
Dual Kernel Density Estimation.
Summary and Further Reading.
STMA and Correlated Walk.
Time in CrimeStat.
Spatial-Temporal Moving Average.
Correlated Walk Analysis.
Summary and Further Reading.
Journey to Crime.
Calibrating a File.
The Journey to Crime Estimation.
Using a Mathematical Formula.
Summary and Further Reading.
Conclusions.
About the Authors.