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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
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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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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

Chapter 7. Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection

The ArcGIS REST API provides access to a wide variety of web services, including ready-to-use ArcGIS Online services hosted by Esri, and services you or other organizations have published. Hosted ArcGIS Online services include basemaps, geocoding and place search, directions and routing, demographic and lifestyle attributes, spatial analysis, and elevation analysis. In this chapter, the GeoEnrichment service that provides demographic and lifestyle information will be queried with the ArcGIS REST API through the Python requests module in support of a site-selection application.

The application built in this chapter will support the site-selection process for a new coffee store in Denver, CO. Specifically, the application will include a tool to identify census block groups that meet general age and income-related variables and that are outside the trade area of competing stores...

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