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

Creating the heatmap

In this section, you'll create a heatmap of the Twitter feed using the Optimized Hot Spot Analysis tool found in the Spatial Statistics Tools toolbox:

  1. If required, open ArcMap and create a new map document file.

  2. Add a basemap like Dark Gray Canvas or Light Gray Canvas work well to display a heatmap. The Light Gray Canvas basemap is displayed in the following screenshot:

  3. Add the Tweets feature class as a layer to the display. The distribution of your tweet points will not be the same as what is displayed in the following screenshot:

  4. If you zoom in to a specific area, you should see some clustering of the points, as shown in the following screenshot:

    Over the next few steps, you'll create a bounding box polygon to confine the distribution of the points. For this particular exercise, the tweet activity for SEC football games examined. The geographic distribution of the tweet activity is relatively confined to the south and south-eastern parts of the United States. However, there...