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)
Introduction to ArcGIS Online

The data access module

Introduced with the release of ArcGIS 10.1, the new data access module known as arcpy.da has made data interaction easier and faster than allowed by previous data cursors. By allowing for direct access to the shape field in a variety of forms (shape object, X values, Y values, centroid, area, length, and more), and a variety of formats (JavaScript Object Notation (JSON), Keyhole Markup Language (KML), Well-Known Binary (WKB), and Well-Known Text (WKT)), the data access module greatly increases the ability of a GIS analyst to extract and control shape field data.

The data access cursors accept a number of required and optional parameters. The required parameters are the path to the feature class as a string (or a variable representing the path) and the fields to be returned. If all fields are desired, use the asterisk notation, and provide a list with an...