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  • Book Overview & Buying ArcGIS Blueprints
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ArcGIS Blueprints

ArcGIS Blueprints

By : Eric Pimpler
4 (1)
Buy this Book
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ArcGIS Blueprints

ArcGIS Blueprints

4 (1)
By: Eric Pimpler
Buy this Book

Overview of this book

This book is an immersive guide to take your ArcGIS Desktop application development skills to the next level It starts off by providing detailed description and examples of how to create ArcGIS Desktop Python toolboxes that will serve as containers for many of the applications that you will build. We provide several practical projects that involve building a local area/community map and extracting wildfire data. You will then learn how to build tools that can access data from ArcGIS Server using the ArcGIS REST API. Furthermore, we deal with the integration of additional open source Python libraries into your applications, which will help you chart and graph advanced GUI development; read and write JSON, CSV, and XML format data sources; write outputs to Google Earth Pro, and more. Along the way, you will be introduced to advanced ArcPy Mapping and ArcPy Data Access module techniques and use data-driven Pages to automate the creation of map books. Finally, you will learn advanced techniques to work with video and social media feeds. By the end of the book, you will have your own desktop application without having spent too much time learning sophisticated theory.
Table of Contents (13 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API
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1. Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API
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Design
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Creating the ArcGIS Desktop Python Toolbox
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Populating the feature class
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Summary
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2. Tracking Elk Migration Patterns with GPS and ArcPy
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2. Tracking Elk Migration Patterns with GPS and ArcPy
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Design
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Creating migration patterns for Python toolbox
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Creating the Import Collar Data tool
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Reading data from the CSV file and writing to the feature class
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Making the data frame and layer time-enabled
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Coding the VisualizeMigration tool
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Summary
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3. Automating the Production of Map Books with Data Driven Pages and ArcPy
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3. Automating the Production of Map Books with Data Driven Pages and ArcPy
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Design
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Setting up the Data Frame
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Creating the Grid Index Features
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Enabling Data Driven Pages
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Creating the Locator Map
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Adding dynamic text to the layout
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Exporting the map series with ArcPy mapping
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Summary
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4. Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 1)
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4. Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 1)
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Design
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Creating the Import Records tool
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Creating the Aggregate Crimes tool
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Building the Create Map tool
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Performing Spatial Statistical Analysis
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Summary
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5. Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 2)
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5. Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 2)
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Design
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Getting to know Plotly
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Creating the Neighborhood Bar Chart tool
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Creating the Create Line Plot tool
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Creating the output
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Summary
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6. Viewing and Querying Parcel Data
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6. Viewing and Querying Parcel Data
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Design
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Creating a user interface with wxPython
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Creating the ArcGIS Python add-in
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Summary
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7. Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection
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7. Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection
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Design
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Creating the Census Block Group selection tool
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Creating the Define Potential Stores tool
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Creating the Enrich Potential Stores tool
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Summary
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8. Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml
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8. Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml
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Design
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Creating the Last Known Position tool
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Creating the Search Area Buffers tool
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Creating the Search Sector tool
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Creating the Convert to Google Earth tool
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Summary
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9. Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API
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9. Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API
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Design
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Extracting Tweet geographic coordinates with tweepy
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Scheduling the script
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Creating the heatmap
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Summary
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10. Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online
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10. Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online
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Design
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Taking photos
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Converting iPhone photos to a feature class
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Creating a Web Map
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Summary
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A. Overview of Python Libraries for ArcGIS
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A. Overview of Python Libraries for ArcGIS
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Overview of Arcpy
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Overview of the ArcPy mapping module
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Overview of the Arcpy data access module
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An overview of the ArcGIS REST API
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Conclusion
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Index
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Index

Chapter 1. Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API

The ArcGIS platform, which contains a number of different products, including ArcGIS Desktop, ArcGIS Pro, ArcGIS for Server, and ArcGIS Online, provides a robust environment to perform geographic analysis and mapping. The content produced by this platform can be integrated using the ArcGIS REST API and a programming language such as Python. Many of the applications we'll build in this book use the ArcGIS REST API as the bridge to exchange information between software products.

We're going to start by developing a simple ArcGIS Desktop custom script tool in ArcToolbox that connects to an ArcGIS Server map service to retrieve real-time wildfire information. The wildfire information will be retrieved from a USGS map service that provides real-time wildfire data. For this chapter and all other chapters in this book, the reader is expected to have intermediate-level experience of Python and ArcPy. Ideally, you should be running version 10.3 or 10.2 of ArcGIS Desktop. Previous versions of ArcGIS Desktop have some significant differences that may cause problems in the development of some applications in the book.

We'll use the ArcGIS REST API and the Python requests module to connect to the map service and request the data. The response from the map service will contain data that will be written to a feature class stored in a local geodatabase using the ArcPy data access module.

This will all be accomplished with a custom script tool attached to an ArcGIS Python Toolbox. ArcGIS Python toolboxes are relatively new; they were first introduced in version 10.1 of ArcGIS Desktop. They provide a Python-centric method to create custom toolboxes and tools. The older method to create toolboxes in ArcGIS Desktop, while still relevant, requires a combination of Python and a wizard-based approach to create tools.

In this chapter, we will cover the following topics:

  • ArcGIS Desktop Python's toolboxes
  • The ArcGIS Server map and feature services
  • The Python requests module
  • The Python JSON module
  • The ArcGIS REST API
  • The ArcPy data access module that is arcpy.da

A general overview of the Python libraries for ArcGIS is provided in the appendix of this book. It is recommended that you read this chapter before continuing with the appendix and other chapters.

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