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. The first tool, Census Block Group Selection, will query an existing census block group layer to find suitable areas that meet the income and population characteristics defined by the tool. It will also remove any census block groups from consideration if they are within the boundaries of the trade area of an existing, competing coffee shop. The second tool, Potential Stores, will be an interactive tool that will allow the end user to define point locations for potential new coffee stores within the boundaries identified with the Census Block Group Selection tool. The final tool, Enrich Potential Stores, will take the stores defined by the Potential Stores tool, pass them to the GeoEnrichment service, and take the lifestyle information returned by the service and write it back to the potential store location layer. The following figure shows how these tools work...