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Eric Pimpler - ArcGIS Blueprints - 2015

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Description

 							
  
  
  
  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.
  
  What You Will Learn
  
  - Automate the creation of creative output data visualizations including maps,
charts, and graphs
  - Explore ways to use the ArcPy Mapping module and Data-driven Pages to automate the creation
of map books in your own project
  - Develop applications that use the Plotly platform and library to create
stunning charts and graphs that can be integrated into ArcGIS Desktop
  - Build tools that access REST services and
download data to a local geodatabase
  - Design, build, and integrate advanced GUIs with wxPython and ArcGIS
Desktop in ArcGIS
  - Get clued up about constructing applications that export data to Google Earth Pro to automate
time-consuming complex processes
  - Maximize the access of ArcGIS Server and ArcGIS Online using the ArcGIS REST
API with Python 						

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