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

Chapter 10. Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online

Today, almost everyone uses a smartphone. These phones have many capabilities, including the ability to take photos and videos. Because they also include a GPS, photos can be location enabled so that the geographic coordinates of each photo are captured and stored with the metadata that accompanies the photos. Photo metadata is stored in an Exchangeable Image File Format (EXIF). The Python's Python Imaging Library (PIL) module can be used to extract this information, including latitude and longitude coordinates. Using this extracted coordinate information, a reverse geocoding process can then be applied to each coordinate to determine the nearest address of the photo. This can be extremely useful for organizations, such as property managers, real estate agents, local government organizations, and more. Employees can be sent into the field with a smartphone to capture photos of properties or other assets without...