Book Image

Learning ArcGIS Pro 2 - Second Edition

By : Tripp Corbin GISP
Book Image

Learning ArcGIS Pro 2 - Second Edition

By: Tripp Corbin GISP

Overview of this book

Armed with powerful tools to visualize, maintain, and analyze data, ArcGIS Pro 2 is Esri's newest desktop geographic information system (GIS) application that uses the modern ribbon interface and a 64-bit processor to make using GIS faster and more efficient. This second edition of Learning ArcGIS Pro will show you how you can use this powerful desktop GIS application to create maps, perform spatial analysis, and maintain data. The book begins by showing you how to install ArcGIS and listing the software and hardware prerequisites. You’ll then understand the concept of named user licensing and learn how to navigate the new ribbon interface to leverage the power of ArcGIS Pro for managing geospatial data. Once you’ve got to grips with the new interface, you’ll build your first GIS project and understand how to use the different project resources available. The book shows you how to create 2D and 3D maps by adding layers and setting and managing the symbology and labeling. You’ll also discover how to use the analysis tool to visualize geospatial data. In later chapters, you’ll be introduced to Arcade, the new lightweight expression language for ArcGIS, and then advance to creating complex labels using Arcade expressions. Finally, you'll use Python scripts to automate and standardize tasks and models in ArcGIS Pro. By the end of this ArcGIS Pro book, you’ll have developed the core skills needed for using ArcGIS Pro 2.x competently.
Table of Contents (20 chapters)
1
Section 1: Introducing and Navigating ArcGIS Pro
4
Section 2: Visualizing, Maintaining, and Analyzing Data
13
Section 3: Sharing Data and Automating processes
18
GIS glossary

Commenting and documenting your scripts

When you begin creating a Python script, it is considered a best practice to include documentation within the code that will help other developers understand what is happening within the code and the purpose-specific parts of the script. This can also prove helpful for yourself if you have to come back to a script that you wrote some time ago and need to make changes.

This in-code documentation is traditionally accomplished using commenting. Think of commenting code as a form of metadata stored within the code itself. It provides users and other programmers with the who, what, where, when, and why data. They may need this data to successfully use, integrate, or edit a script that you create. Different programming languages use different methods to comment code. Python uses the pound sign (#) to identify comment lines within its code, as illustrated in the following screenshot:

As you...