Python For ArcGIS

1. Front Matter

   Pages i-xvi

   PDF

2. Introduction

   • Laura Tateosian

   Pages 1-11

3. Beginning Python

   • Laura Tateosian

   Pages 13-35

4. Basic Data Types: Numbers and Strings

   • Laura Tateosian

   Pages 37-58

5. Basic Data Types: Lists and Tuples

   • Laura Tateosian

   Pages 59-75

6. ArcGIS and Python

   • Laura Tateosian

   Pages 77-94

7. Calling Tools with Arcpy

   • Laura Tateosian

   Pages 95-117

8. Getting User Input

   • Laura Tateosian

   Pages 119-132

9. Controlling Flow

   • Laura Tateosian

   Pages 133-140

10. Decision-Making and Describing Data

    • Laura Tateosian

    Pages 141-170

11. Repetition: Looping for Geoprocessing

    • Laura Tateosian

    Pages 171-186

12. Batch Geoprocessing

    • Laura Tateosian

    Pages 187-208

13. Additional Looping Functions

    • Laura Tateosian

    Pages 209-221

14. Debugging

    • Laura Tateosian

    Pages 223-239

15. Error Handling

    • Laura Tateosian

    Pages 241-259

16. User-Defined Functions

    • Laura Tateosian

    Pages 261-289

17. User-Defined Modules

    • Laura Tateosian

    Pages 291-308

18. Reading and Writing with Cursors

    • Laura Tateosian

    Pages 309-333

19. Dictionaries

    • Laura Tateosian

    Pages 335-355

20. Reading and Writing Text Files

    • Laura Tateosian

    Pages 357-384

This book introduces Python scripting for geographic information science (GIS) workflow optimization using ArcGIS. It builds essential programming skills for automating GIS analysis. Over 200 sample Python scripts and 175 classroom-tested exercises reinforce the learning objectives. Readers will learn to: • Write and run Python in the ArcGIS Python Window, the PythonWin IDE, and the PyScripter IDE • Work with Python syntax and data types • Call ArcToolbox tools, batch process GIS datasets, and manipulate map documents using the arcpy package • Read and modify proprietary and ASCII text GIS data • Parse HTML web pages and KML datasets • Create Web pages and fetch GIS data from Web sources. • Build user-interfaces with the native Python file dialog toolkit or the ArcGIS Script tools and PyToolboxes Python for ArcGIS is designed as a primary textbook for advanced-level students in GIS. Researchers, government specialists and professionals working in GIS will also find this book useful asa reference.

• ArcGIS
• ArcPy
• Batch processing
• Computer programming
• GIS
• Geographic information science
• Geoprocessing
• Geospatial analysis
• Geospatial data processing
• Geospatial information science
• Python
• Scripting
• Streamline workflow

• North Carolina State University, Raleigh, USA

  Laura Tateosian

Laura G. Tateosian is a professor at the Center for Geospatial Analytics at North Carolina State University. She earned her B.A. in Mathematics from Towson University, her M.S. in Mathematics from the University of Oklahoma, and her Ph.D. in computer science from North Carolina State University. She has more than 8 years of experience teaching Python programming for GIS and receives outstanding teaching evaluations. In 2014, she received an award for her teaching at North Carolina State University. Her research involves geospatial data analysis, aesthetic geovisualization, eye-tracking for map and visualization design, and automatic narrative mapping with Python and ArcGIS. Her research has published in refereed conferences and journals, such as, Information Visualization, International Journal for Uncertainty Quantification, Transactions in GIS, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, the proceedings of the International Symposium on Non-Photorealistic Animation and Rendering, the International Symposium on Applied Perception in Graphics and Visualization, and IEEE Computer Graphics & Applications (Visualization Viewpoints).

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