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Programming ArcGIS 10.1 with Python Cookbook

You're reading from   Programming ArcGIS 10.1 with Python Cookbook This book provides the recipes you need to use Python with AcrGIS for more effective geoprocessing. Shortcuts, scripts, tools, and customizations put you in the driving seat and can dramatically speed up your workflow.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849694445
Length 304 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Eric Pimpler Eric Pimpler
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Eric Pimpler
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Table of Contents (21) Chapters Close

Programming ArcGIS 10.1 with Python Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Fundamentals of the Python Language for ArcGIS 2. Writing Basic Geoprocessing Scripts with ArcPy FREE CHAPTER 3. Managing Map Documents and Layers 4. Finding and Fixing Broken Data Links 5. Automating Map Production and Printing 6. Executing Geoprocessing Tools from Scripts 7. Creating Custom Geoprocessing Tools 8. Querying and Selecting Data 9. Using the ArcPy Data Access Module to Select, Insert, and Update Geographic Data and Tables 10. Listing and Describing GIS Data 11. Customizing the ArcGIS Interface with Add-Ins 12. Error Handling and Troubleshooting Automating Python Scripts Five Things Every GIS Programmer Should Know How to Do with Python 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 100 year floodplain" 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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