Book Image

ArcPy and ArcGIS - Second Edition

By : Silas Toms, Dara OBeirne
Book Image

ArcPy and ArcGIS - Second Edition

By: Silas Toms, Dara OBeirne

Overview of this book

ArcGIS allows for complex analyses of geographic information. The ArcPy module is used to script these ArcGIS analyses, providing a productive way to perform geo-analyses and automate map production. The second edition of the book focuses on new Python tools, such as the ArcGIS API for Python. Using Python, this book will guide you from basic Python scripting to advanced ArcPy script tools. This book starts off with setting up your Python environment for ArcGIS automation. Then you will learn how to output maps using ArcPy in MXD and update feature class in a geodatabase using arcpy and ArcGIS Online. Next, you will be introduced to ArcREST library followed by examples on querying, updating and manipulating ArcGIS Online feature services. Further, you will be enabling your scripts in the browser and directly interacting with ArcGIS Online using Jupyter notebook. Finally, you can learn ways to use of ArcPy to control ArcGIS Enterprise and explore topics on deployments, data quality assurances, data updates, version control, and editing safeguards. By the end of the book, you will be equipped with the knowledge required to create automated analysis with administration reducing the time-consuming nature of GIS.
Table of Contents (13 chapters)
8
Introduction to ArcGIS Online

Summary

In this chapter, we introduced the ArcREST Python package that can be used to efficiently script common tedious tasks in the ArcGIS web infrastructure, from ArcGIS Online to Portal for ArcGIS, and ArcGIS for Server. Although ArcREST is commonly used for administrative tasks in the ArcGIS web infrastructure, we demonstrated use cases that can be adapted by any GIS technician or analyst throughout an organization. We want to make sure you understand that scripting for ArcGIS Online or ArcGIS for Server does not have to be designated to administrators within an organization. Hopefully, the information and examples provided in this chapter provide you with enough foundational knowledge to apply ArcREST to multiple use cases within your organization. In the next chapter, we will begin to explore Python for ArcGIS Pro and introduce ESRI's migration of Python from the current...