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ArcPy and ArcGIS: Geospatial Analysis with Python

You're reading from   ArcPy and ArcGIS: Geospatial Analysis with Python Use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783988662
Length 224 pages
Edition 1st Edition
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Python for ArcGIS FREE CHAPTER 2. Configuring the Python Environment 3. Creating the First Python Script 4. Complex ArcPy Scripts and Generalizing Functions 5. ArcPy Cursors – Search, Insert, and Update 6. Working with ArcPy Geometry Objects 7. Creating a Script Tool 8. Introduction to ArcPy.Mapping 9. More ArcPy.Mapping Techniques 10. Advanced Geometry Object Methods 11. Network Analyst and Spatial Analyst with ArcPy 12. The End of the Beginning Index

The data access module


Introduced with the release of ArcGIS 10.1, the new data access module known as arcpy.da has made data interaction easier, and faster, than allowed by previous data cursors. By allowing for direct access to the shape field in a variety of forms (shape object, X values, Y values, centroid, area, length, and more), and a variety of formats (JavaScript Object Notation (JSON), Keyhole Markup Language (KML), Well Known Binary (WKB), Well-Known Text (WKT)), the data access module greatly increases the ability of a GIS analyst to extract and control shape field data.

The data access cursors accept a number of required and optional parameters. The required parameters are the path to the feature class as a string (or a variable representing the path) and the fields to be returned. If all fields are desired, using the asterisk notation and provide a list with an asterisk as a string as the field's parameter ( [ * ] ). If only a few fields are required, provide those fields as...

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