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  • Textbook
  • © 2015

Python For ArcGIS

Authors:

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  • Illustrates concepts with examples that solve real geoprocessing problems

  • Emphasizes batch processing for streamlining workflows

  • Provides over 200 sample Python scripts and 175 exercises

  • Offers exercises, key terms, and access to a solutions manual to enhance classroom usage

  • Includes supplementary material: sn.pub/extras

  • Request lecturer material: sn.pub/lecturer-material

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eBook
USD 79.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-18398-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 99.99
Price excludes VAT (USA)
Hardcover Book
USD 139.99
Price excludes VAT (USA)

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-xvi
  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

About this book

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 as a reference.

Keywords

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

Authors and Affiliations

  • North Carolina State University, Raleigh, USA

    Laura Tateosian

About the author

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).

Bibliographic Information

Buying options

eBook
USD 79.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-18398-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 99.99
Price excludes VAT (USA)
Hardcover Book
USD 139.99
Price excludes VAT (USA)