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".
Programming ArcGIS with Python Cookbook, Second Edition
By :
Programming ArcGIS with Python Cookbook, Second Edition
By:
Overview of this book
Table of Contents (22 chapters)
Programming ArcGIS with Python Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Fundamentals of the Python Language for ArcGIS
Managing Map Documents and Layers
Finding and Fixing Broken Data Links
Automating Map Production and Printing
Executing Geoprocessing Tools from Scripts
Creating Custom Geoprocessing Tools
Querying and Selecting Data
Using the ArcPy Data Access Module with Feature Classes and Tables
Listing and Describing GIS Data
Customizing the ArcGIS Interface with Add-ins
Error Handling and Troubleshooting
Using Python for Advanced ArcGIS
Using Python with ArcGIS Pro
Automating Python Scripts
Five Python Recipes Every GIS Programmer Should Know
Index
Customer Reviews