Overview

Python Scripting for ArcGIS is a guide for experienced users of ArcGIS Desktop to get started with Python scripting without needing previous programming experience. Experience with other scripting or programming languages (Perl, VBA, VB script, Java, C++) is helpful but not required. Readers are expected to have good general ArcGIS skills and a basic understanding of geoprocessing procedures. There are 14 chapters with corresponding online data and exercises.

Full Product Details

Author:   Paul Zandbergen
Publisher:   ESRI Press
Imprint:   ESRI Press
Edition:   2nd Edition Contains No Media ed.
Dimensions:   Width: 20.30cm , Height: 2.50cm , Length: 25.40cm
Weight:   1.134kg
ISBN:  

9781589483712

ISBN 10:   1589483715
Pages:   368
Publication Date:   30 August 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

PrefaceAcknowledgmentsPart 1 Learning the fundamentals of Python and geoprocessingChapter 1. Introducing PythonChapter 2. Geoprocessing in ArcGISChapter 3. Using the Python windowChapter 4. Learning Python language fundamentalsPart 2 Writing scriptsChapter 5. Geoprocessing using PythonChapter 6. Exploring spatial dataChapter 7. Manipulating spatial dataChapter 8. Working with geometriesChapter 9. Working with rastersPart 3 Carrying out specialized tasksChapter 10. Map scriptingChapter 11. Debugging and error handlingChapter 12. Creating Python functions and classesPart 4 Creating and using script toolsChapter 13. Creating custom toolsChapter 14. Sharing toolsIndexAppendix A Data source creditsAppendix B Data license agreementAppendix C Installing the data and software

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Author Information

Paul A. Zandbergen is an associate professor of geography at the University of New Mexico in Albuquerque. His areas of expertise include geographic information science; spatial and statistical analysis techniques using GIS; error and uncertainty in spatial data; GIS applications in criminology, economics, health, and spatial ecology; terrain analysis and modeling; and community?based mapping using GIS and GPS.

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