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Programming ArcGIS with Python Cookbook, Second Edition

You're reading from   Programming ArcGIS with Python Cookbook, Second Edition Over 85 hands-on recipes to teach you how to automate your ArcGIS for Desktop geoprocessing tasks using Python

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781785282898
Length 366 pages
Edition 1st Edition
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Author (1):
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Eric Pimpler Eric Pimpler
Author Profile Icon Eric Pimpler
Eric Pimpler
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Table of Contents (17) Chapters Close

Preface 1. Fundamentals of the Python Language for ArcGIS 2. Managing Map Documents and Layers FREE CHAPTER 3. Finding and Fixing Broken Data Links 4. Automating Map Production and Printing 5. Executing Geoprocessing Tools from Scripts 6. Creating Custom Geoprocessing Tools 7. Querying and Selecting Data 8. Using the ArcPy Data Access Module with Feature Classes and Tables 9. Listing and Describing GIS Data 10. Customizing the ArcGIS Interface with Add-ins 11. Error Handling and Troubleshooting 12. Using Python for Advanced ArcGIS 13. Using Python with ArcGIS Pro A. Automating Python Scripts B. Five Python Recipes Every GIS Programmer Should Know Index

Introduction


Selecting features from a geographic layer or rows from a standalone attribute table is one of the most common GIS operations. Queries are created to enable these selections, and can be either attribute or spatial queries. Attribute queries use SQL statements to select features or rows through the use of one or more fields or columns in a dataset. An example attribute query would be "Select all land parcels with a property value greater than $500,000". Spatial queries are used to select features based on some type of spatial relationship. An example might be "Select all land parcels that intersect a school district" or perhaps "Select all streets that are completely within Travis County, Texas." It is also possible to combine attribute and spatial queries. An example might be "Select all land parcels that intersect the 100 year floodplain and have a property value greater than $500,000".

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