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


In this chapter, two tools were added to the Crime Analysis toolbox to provide crime data visualization products that supplement and enhance the mapping products created in the previous chapter. Using the crime data imported and aggregated from the open data Seattle police department, the Plotly graphing and charting Python library was used to create bar charts and line plots. The Plotly library can be used to create a wide variety of data visualization products in addition to the simple graphs created in this chapter. Take some time to explore the variety of additional data visualization products available through the Plotly library.

In the next chapter, we'll explore the use of wxPython to create advanced, engaging user interfaces for ArcGIS Desktop.