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Detalles bibliogr�ficos

T�tulo: GIS Tutorial for Crime Analysis
Editor: Esri Press
Fecha de publicaci�n: 2018
Idioma: Ingl�s
ISBN 10: 1589485165
ISBN 13: 9781589485167
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 2� Edici�n
Estado: good

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Sinopsis

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 version of ArcGIS Desktop software and tutorial data. Instructor resources are available upon request.

Acerca del autor

Wilpen L. Gorr is emeritus professor of public policy and management information systems at the School of Public Policy and Management, H. John Heinz III College, Carnegie Mellon University, where he taught and researched GIS applications. He was also chairman of the school’s Master of Science in Public Policy and Management program and editor of the International Journal of Forecasting. Kristen S. Kurland is a Teaching Professor of Architecture, Information Systems, and Public Policy at the H. John Heinz III College and School of Architecture, Carnegie Mellon University, where she teaches GIS, building information modeling, computer-aided design, 3D visualization, infrastructure management, and enterprise data analytics. Zan M. Dodson is a postdoctoral associate in the Public Health Dynamics Laboratory at the University of Pittsburgh and adjunct faculty at the H. John Heinz III College, Carnegie Mellon University, where he teaches GIS, spatiotemporal modeling, spatial optimization, and remote sensing.

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