ArcGIS Blueprints

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

Eric Pimpler

1 customer reviews
Explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projects
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Book Details

ISBN 139781785286223
Paperback378 pages

Book Description

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

Chapter 1: Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API
Design
Creating the ArcGIS Desktop Python Toolbox
Populating the feature class
Summary
Chapter 2: Tracking Elk Migration Patterns with GPS and ArcPy
Design
Creating migration patterns for Python toolbox
Creating the Import Collar Data tool
Reading data from the CSV file and writing to the feature class
Making the data frame and layer time-enabled
Coding the VisualizeMigration tool
Summary
Chapter 3: Automating the Production of Map Books with Data Driven Pages and ArcPy
Design
Setting up the Data Frame
Creating the Grid Index Features
Enabling Data Driven Pages
Creating the Locator Map
Adding dynamic text to the layout
Exporting the map series with ArcPy mapping
Summary
Chapter 4: Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 1)
Design
Creating the Import Records tool
Creating the Aggregate Crimes tool
Building the Create Map tool
Performing Spatial Statistical Analysis
Summary
Chapter 5: Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 2)
Design
Getting to know Plotly
Creating the Neighborhood Bar Chart tool
Creating the Create Line Plot tool
Creating the output
Summary
Chapter 6: Viewing and Querying Parcel Data
Design
Creating a user interface with wxPython
Creating the ArcGIS Python add-in
Summary
Chapter 7: Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection
Design
Creating the Census Block Group selection tool
Creating the Define Potential Stores tool
Creating the Enrich Potential Stores tool
Summary
Chapter 8: Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml
Design
Creating the Last Known Position tool
Creating the Search Area Buffers tool
Creating the Search Sector tool
Creating the Convert to Google Earth tool
Summary
Chapter 9: Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API
Design
Extracting Tweet geographic coordinates with tweepy
Scheduling the script
Creating the heatmap
Summary
Chapter 10: Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online
Design
Taking photos
Converting iPhone photos to a feature class
Creating a Web Map
Summary

What You Will Learn

  • Automate the creation of creative output data visualizations including maps, charts, and graphs
  • Explore ways to use the ArcPy Mapping module and Data-driven Pages to automate the creation of map books in your own project
  • Develop applications that use the Plotly platform and library to create stunning charts and graphs that can be integrated into ArcGIS Desktop
  • Build tools that access REST services and download data to a local geodatabase
  • Design, build, and integrate advanced GUIs with wxPython and ArcGIS Desktop in ArcGIS
  • Get clued up about constructing applications that export data to Google Earth Pro to automate time-consuming complex processes
  • Maximize the access of ArcGIS Server and ArcGIS Online using the ArcGIS REST API with Python

Authors

Table of Contents

Chapter 1: Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API
Design
Creating the ArcGIS Desktop Python Toolbox
Populating the feature class
Summary
Chapter 2: Tracking Elk Migration Patterns with GPS and ArcPy
Design
Creating migration patterns for Python toolbox
Creating the Import Collar Data tool
Reading data from the CSV file and writing to the feature class
Making the data frame and layer time-enabled
Coding the VisualizeMigration tool
Summary
Chapter 3: Automating the Production of Map Books with Data Driven Pages and ArcPy
Design
Setting up the Data Frame
Creating the Grid Index Features
Enabling Data Driven Pages
Creating the Locator Map
Adding dynamic text to the layout
Exporting the map series with ArcPy mapping
Summary
Chapter 4: Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 1)
Design
Creating the Import Records tool
Creating the Aggregate Crimes tool
Building the Create Map tool
Performing Spatial Statistical Analysis
Summary
Chapter 5: Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 2)
Design
Getting to know Plotly
Creating the Neighborhood Bar Chart tool
Creating the Create Line Plot tool
Creating the output
Summary
Chapter 6: Viewing and Querying Parcel Data
Design
Creating a user interface with wxPython
Creating the ArcGIS Python add-in
Summary
Chapter 7: Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection
Design
Creating the Census Block Group selection tool
Creating the Define Potential Stores tool
Creating the Enrich Potential Stores tool
Summary
Chapter 8: Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml
Design
Creating the Last Known Position tool
Creating the Search Area Buffers tool
Creating the Search Sector tool
Creating the Convert to Google Earth tool
Summary
Chapter 9: Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API
Design
Extracting Tweet geographic coordinates with tweepy
Scheduling the script
Creating the heatmap
Summary
Chapter 10: Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online
Design
Taking photos
Converting iPhone photos to a feature class
Creating a Web Map
Summary

Book Details

ISBN 139781785286223
Paperback378 pages
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