Python Scripting for ArcGIS

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.

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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.

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Product Details

  • ISBN-13: 9781589483712
  • Publisher: ESRI Press
  • Publication date: 2/2/2015
  • Edition description: Edition contains no media
  • Edition number: 1
  • Pages: 368

Meet the Author

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‚Äźbased mapping using GIS and GPS.

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Table of Contents

Preface
Acknowledgments
Part 1 Learning the fundamentals of Python and geoprocessing
Chapter 1. Introducing Python
Chapter 2. Geoprocessing in ArcGIS
Chapter 3. Using the Python window
Chapter 4. Learning Python language fundamentals
Part 2 Writing scripts
Chapter 5. Geoprocessing using Python
Chapter 6. Exploring spatial data
Chapter 7. Manipulating spatial data
Chapter 8. Working with geometries
Chapter 9. Working with rasters
Part 3 Carrying out specialized tasks
Chapter 10. Map scripting
Chapter 11. Debugging and error handling
Chapter 12. Creating Python functions and classes
Part 4 Creating and using script tools
Chapter 13. Creating custom tools
Chapter 14. Sharing tools
Index
Appendix A Data source credits
Appendix B Data license agreement
Appendix C Installing the data and software

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