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ArcGIS Blueprints

You're reading from   ArcGIS Blueprints Explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projects

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781785286223
Length 378 pages
Edition 1st Edition
Languages
Tools
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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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Toc

Table of Contents (13) Chapters Close

Preface 1. Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API FREE CHAPTER 2. Tracking Elk Migration Patterns with GPS and ArcPy 3. Automating the Production of Map Books with Data Driven Pages and ArcPy 4. Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 1) 5. Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 2) 6. Viewing and Querying Parcel Data 7. Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection 8. Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml 9. Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API 10. Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online A. Overview of Python Libraries for ArcGIS Index

Design


Let's spend a little time going over the design of what we're going to build in this chapter. This application, like the one we built in the Chapter 1, Extracting Wildfire Data from an ArcGIS Server Map Service with the ArcGIS REST API, will include the creation of an ArcGIS Desktop Python Toolbox. The toolbox, MigrationPatterns.pyt, will include two tools: ImportCollarData and VisualizeMigration. The ImportCollarData tool will import GPS data from a collar that was attached to an elk in northern California. The GPS data will have been extracted to a comma-delimited text file (csv format), that will be read using the Python csv module and then imported into a local feature class stored in a file geodatabase using the arcpy.da which is a data access module. We'll then need to do a little manual work inside ArcMap. First, we'll make the feature class that was created as a result of the ImportCollarData tool time-enabled, and then we'll save the time-enabled data in a map document file...

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