GIS Tutorial for Crime Analysis, second edition

By Wilpen L. Gorr, Kristen S. Kurland, Zan M. Dodson

GIS Tutorial for Crime Analysis, second edition, presents state-of-the-art crime mapping and analysis methods that can be incorporated into any police department’s current practices.

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GIS Tutorial for Crime Analysis, second edition, is a workbook for crime analysts and students of criminology. The book presents state-of-the-art methods that can be incorporated into any police department’s standard practices. This second edition builds upon the first edition by updating tutorials, adding a new chapter on building and evaluating models using ModelBuilder and ArcGIS’s hot spot analysis tools, and adding a capstone project on hot spot modeling.

In contrast to GIS workbooks that teach skills for one-time projects, this book has users build and use a crime mapping and analysis system to meet all spatial information needs of a police department. The book combines introductions to GIS and crime analysis methods and step-by-step tutorial exercises with independent assignments to teach key GIS skills, including data preparation and updating, map template building, map queries and analysis, automation of map production, and modeling skills. The book also includes a 180-day trial of ArcGIS Desktop software and tutorial data.

Note: Esri Press ebooks do not include 180-day trial software. Instead, you can download the ArcGIS Trial at https://www.esri.com/en-us/arcgis/trial.

Wilpen L. Gorr
Wilpen L. Gorr is a professor of public policy and management information systems at the H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, where he teaches and researches GIS applications.

Kristen S. Kurland
Kristen S. Kurland holds a joint faculty appointment at Carnegie Mellon University's Heinz School of Public Policy and Management and School of Architecture, where she teaches GIS, CAD, 3D visualization, and computer aided facilities management (CAFM).

Zan M. Dodson
Zan M. Dodson is a postdoctoral associate in the Public Health Dynamics Laboratory at the University of Pittsburgh. He teaches GIS, spatiotemporal modeling, spatial optimization, and remote sensing at the H. John Heinz III College, Carnegie Mellon University.

 

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