Because smartphones are nearly ubiquitous, they provide some unique capabilities for GIS. Photos captured with these devices include metadata that includes geographic coordinate information for each photo. This information can be read using Python and stored in a local feature class with the ArcPy Data Access
module. Using a reverse geocoding process, it is also possible to determine the nearest address where the photo was taken. Finally, to enable this data on the web for sharing, the Python dropbox
module can be used to upload these photos to a file-sharing platform and then integrated with the uploaded feature class data using ArcGIS Online.
ArcGIS Blueprints
By :
ArcGIS Blueprints
By:
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
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API
Tracking Elk Migration Patterns with GPS and ArcPy
Automating the Production of Map Books with Data Driven Pages and ArcPy
Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 1)
Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly(Part 2)
Viewing and Querying Parcel Data
Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection
Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml
Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API
Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online
Overview of Python Libraries for ArcGIS
Index
Customer Reviews