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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

Creating a model and exporting to Python


This chapter will depend on the downloadable SanFrancisco.gdb file geodatabase, available from the Packt Publishing website. The San Francisco GDB contains data downloaded from data.sfgov.org and the US Census' American Factfinder website available at factfinder2.census.gov. All census and geographic data included in the geodatabase is from the 2010 census. The data is contained within a feature dataset called SanFrancisco. The data in this feature dataset is in NAD 83 California State Plane Zone 3 and the linear unit of measure is the US Foot (this corresponds to SRID 2227 in the European Petroleum Survey Group, or EPSG, format).

The analysis we will create with the model, and eventually export to Python for further refinement, will use bus stops along a specific line in San Francisco. These bus stops will be buffered to create a representative region around each bus stop. The buffered areas will then be intersected with census blocks to find out...

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