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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
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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 4. Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 1)

This is the first of two chapters that will cover the creation of crime analysis tools, using a combination of ArcGIS Desktop with arcpy, arcpy.mapping, and arcpy.da along with the Python requests and plotly modules. Data for the application will be pulled from the Seattle Open Data initiative, which contains crime data, among many other datasets. The Socrata API will be used to request the crime data that will be used in our analysis tools.

Three tools will be built in this chapter and added to a custom ArcGIS Python Toolbox. The initial focus of this chapter will be the construction of a tool that connects to the open database using the Python requests module with the Socrata API to request and receive data. The data will be written to a local geodatabase feature class. A second tool will take the imported records and aggregate to boundary datasets, such as census block groups, police precincts...

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