Python Scripting for ArcGIS / Edition 1

by Paul A. Zandbergen

Overview

This book 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.

Product Details

ISBN-13:	2901589483711
Publication date:	02/02/2015
Pages:	358
Product dimensions:	6.00(w) x 1.25(h) x 9.00(d)

About the Author

Dr. Paul A. Zandbergen is a professor in the GIS program at Vancouver Island University. His teaching includes courses in introductory GIS, spatial analysis and modeling, spatial statistics, and GIS programming. His research focuses on the robustness of spatial analytical techniques in the areas of crime analysis, environmental science, public health, spatial ecology, and water resources. His research has been funded by the National Science Foundation, the National Institute of Justice, and the National Institutes of Health. He has published over 50 journal articles and book chapters. He is the author of Python Scripting for ArcGIS, published in 2013 with Esri Press. He lives with his family in Vancouver, British Columbia, Canada.

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