Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
ArcGIS Pro 2.x Cookbook

You're reading from   ArcGIS Pro 2.x Cookbook Create, manage, and share geographic maps, data, and analytical models using ArcGIS Pro

Arrow left icon
Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788299039
Length 704 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Tripp Corbin, GISP Tripp Corbin, GISP
Author Profile Icon Tripp Corbin, GISP
Tripp Corbin, GISP
Arrow right icon
View More author details
Toc

Table of Contents (21) Chapters Close

Title Page
Dedication
Packt Upsell
Contributors
Preface
1. ArcGIS Pro Capabilities and Terminology FREE CHAPTER 2. Creating and Storing Data 3. Linking Data together 4. Editing Spatial and Tabular Data 5. Validating and Editing Data with Topologies 6. Projections and Coordinate System Basics 7. Converting Data 8. Proximity Analysis 9. Spatial Statistics and Hot Spots 10. 3D Maps and 3D Analyst 11. Introducing Arcade 12. Introducing ArcGIS Online 13. Publishing Your Own Content to ArcGIS Online 14. Creating Web Apps Using ArcGIS Online 1. Other Books You May Enjoy Index

Calculating the geographic dispersion of data


You can now determine the geographic center and central feature for a grouping of data. As you have seen, this can be a very powerful type of analysis. It can help you sight new locations, determine the focal point of a series of incidents, find the center of mass for a group of features, and more. But what if you need to know where the area of greatest concentration of features is, or how compact or spread out the data is around its geographic center? Such analysis can help you to locate clusters of data or see shifts in behavior.

ArcGIS Pro’s Standard Distance tool, located in the Spatial Statistics Tools toolbox, and the Measuring Geographic Distributions toolset allows you to do this. It measures the compactness of a distribution around the mean center of a group of features. The smaller the distance calculated, the less the data is dispersed. It is more compact. The larger the distance calculated, the more the data is dispersed, meaning it...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image