Book Image

ArcGIS Blueprints

By : Donald Eric Pimpler, Eric Pimpler
Book Image

ArcGIS Blueprints

By: Donald Eric Pimpler, Eric Pimpler

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 (18 chapters)
ArcGIS Blueprints
About the Author
About the Reviewers


The design of this application will include the creation of three custom tools inside an ArcGIS Desktop Python Toolbox as well as a Python add-in for ArcGIS Desktop that includes two tools.

The two tools, that are part of the Python add-in, include a tool that can be used to define a point location that indicates the last known position of the lost individual, and a tool that can be used to sketch search sectors.

For the ArcGIS Desktop Python Toolbox, there is a tool that will be used to assign attributes to the LKP, a tool to define buffer polygons representing distances around the LKP, and a tool to export data to the Google Earth KML format. The following diagram shows how it works:

Let's get started and build the application.