Book Image

ArcGIS Pro 2.x Cookbook

By : Tripp Corbin GISP
Book Image

ArcGIS Pro 2.x Cookbook

By: Tripp Corbin GISP

Overview of this book

ArcGIS is Esri's catalog of GIS applications with powerful tools for visualizing, maintaining, and analyzing data. ArcGIS makes use of the modern ribbon interface and 64-bit processing to increase the speed and efficiency of using GIS. It allows users to create amazing maps in both 2D and 3D quickly and easily. If you want to gain a thorough understanding of the various data formats that can be used in ArcGIS Pro and shared via ArcGIS Online, then this book is for you. Beginning with a refresher on ArcGIS Pro and how to work with projects, this book will quickly take you through recipes about using various data formats supported by the tool. You will learn the limits of each format, such as Shapefiles, Geodatabase, and CAD files, and learn how to link tables from outside sources to existing GIS data to expand the amount of data that can be used in ArcGIS. You'll learn methods for editing 2D and 3D data using ArcGIS Pro and how topology can be used to ensure data integrity. Lastly the book will show you how data and maps can be shared via ArcGIS Online and used with web and mobile applications.
Table of Contents (21 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Finding the mean center of geographic distribution


When we are looking for clusters of data or trying to determine the overall geographic distribution of our data, one of the first things many of these tools do is determine a center of mass for the data. From there, it can compare nearby features looking for clusters, determine area concentrations of data, look at directional distribution, and more.

However, finding the center of the geographic distribution of our data can be a powerful analytical tool. This can allow us to strategically locate new facilities, pick a central meeting place, plan a reaction to events, and more. There are three types of centers we can calculate: mean, feature, and median.

The Mean Center is the easiest to calculate. It is simply the average of all the x and y coordinates for all features in the layer you are analyzing. The result is the mean center. This can be useful in tracking movement or shifts over time, such as population shifts from urban to suburban areas...