Book Image

ArcGIS for JavaScript Developers by Example

By : Jayakrishnan Vijayaraghavan, Yogesh Dhanapal
Book Image

ArcGIS for JavaScript Developers by Example

By: Jayakrishnan Vijayaraghavan, Yogesh Dhanapal

Overview of this book

<p>The book starts by explaining the basics of the ArcGIS web mapping ecosystem. The book walks you through the development of six major applications, covering a wide variety of topics such as querying, rendering, advanced data visualization and performing map analytics. It also emphasizes on writing modular code using pure dojo, which is the preferred platform for developing web GIS applications using ArcGIS JavaScript API.</p> <p>By the end of the book, you will have gained enough practical experience to architect a robust and visually powerful mapping application using the API.</p>

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ArcGIS for JavaScript Developers by Example
Jayakrishnan Vijayaraghavan | Yogesh Dhanapal
Apr, 2016 | 286 pages
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Table of Contents (16 chapters)
ArcGIS for JavaScript Developers by Example
ArcGIS for JavaScript Developers by Example
Credits
Credits
About the Authors
About the Authors
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Foundation for the API
Foundation for the API
Setting up the development environment
Setting the initial map extent
Understanding dojo and AMD
Understanding ArcGIS Server and the REST API
Summary
2
Layers and Widgets
Layers and Widgets
Data sources supported by the API
The concept of layers
Using Esri widgets – the genie's lamp
Summary
3
Writing Queries
Writing Queries
Developing the Wildfire application
Types of querying operations
Building and executing a Query task
Building and executing IdentifyTask
Building and executing a Find task
Building a feature table
Building popups
Summary
4
Building Custom Widgets
Building Custom Widgets
Creating a simple class
Developing a standalone widget
Widget folder structure
Building a custom widget
Summary
5
Working with Renderers
Working with Renderers
Working with colors
Working with symbols
Working with renderers
Summary
6
Working with Real-Time Data
Working with Real-Time Data
Background about the application
Visualizing map data
Building a hurricane tracking app
Adding a global wind data gauge
Tracking the latest active hurricanes
Creating a weather widget
Summary
7
Map Analytics and Visualization Techniques
Map Analytics and Visualization Techniques
Building a demographics analytic portal
Basic statistical measures
Statistical functionality provided by the API
Working with continuous and break renderers
Smart mapping
Summary
8
Advanced Map Visualization and Charting Libraries
Advanced Map Visualization and Charting Libraries
Charting with dojo
Types of 2D charts provided by dojox modules
Charting with D3.js
Charting with Cedar
Summary
9
Visualization with Time Aware Layers
Visualization with Time Aware Layers
Time aware layers
Building the Drought app
Querying based on time using D3
Advanced spatio-temporal visualization with Cedar
Summary
Index
Index

About the Reviewer

Dobrin Ganev is a software developer with years of experience in various development environments from finance to business process management. In recent years, he has been focused in geospatial development and data analytics using languages such as JavaScript, Python, Scala, and R. He has extensive knowledge with open source geospatial and the Esri platforms. Currently, he is focused on big data, and its applications across broad industries and sectors.

chorStream Inc. (http://www.chorstream.com/) is a software development firm focused on the use of big data and big data technologies to help clients work with and leverage large and diverse volumes of data founded in 2015. Mr. Ganev, as a co-founder, has worked with an accomplished team of professionals to create and bring to market an application's framework similar to a Web AppBuilder that end users are able to use to build custom and focused applications without having to have any development skills.

I would like to thank Packt Publishing for seeking and asking me to be part of this exciting book. I hope that the body of knowledge stored in this book will be a great asset to those who want to learn how they can leverage programming for GIS. I would also like to extend a warm thank you to Guillermo Paniagua, a colleague of mine, for his input and insight on GIS topics in this book, which helped me review this book. The endeavor to continually learn cannot be a solo activity, and the best results always come from team work and peer review.

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