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ArcPy and ArcGIS - Second Edition: Automating ArcGIS for Desktop and ArcGIS Online with Python
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About ArcPy And ArcGIS - Second Edition: Automating
Product Description Use Python modules such as ArcPy, ArcREST and the ArcGIS API for Python to automate the process of analyzing and mapping geospatial data Key Features Perform GIS analysis quickly by automating tasks Access spatial data contained within shapefiles and geodatabases and transform between spatial reference systems Automate the process of mapping geospatial analyses and producing map books Book Description ArcGIS allows for complex analyses of geographic information. The ArcPy module is used to script ArcGIS analyses, providing a productive way to perform geo-analyses and automate map production. This updated second edition 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. You'll start by setting up your Python environment for ArcGIS automation. Next, you'll learn how to output maps using ArcPy in MXD and update feature class in a geodatabase using ArcPy and ArcGIS Online. In later chapters, you'll explore the ArcREST library, before going on to discover examples on querying, updating and manipulating ArcGIS Online feature services. As you progress, you will get up to speed with enabling your scripts in the browser and directly interacting with ArcGIS Online using Jupyter notebook. Finally, you will learn how to use ArcPy to control ArcGIS Enterprise and even explore topics on data quality assurances, data updates, version control, and editing safeguards. By the end of this book, you will be equipped with the knowledge you need to automate the analysis and mapping of geospatial data. What you will learn Understand how to integrate Python into ArcGIS and make GIS analysis faster and easier Create Python script using ArcGIS ModelBuilder Learn to use ArcGIS Online feature services and understand the basics of ArcGIS REST API Understand the latest Python environment with ArcGIS Pro Explore the new ArcGIS Python API and understand how to use Anaconda and Jupyter with it Get to grips with controlling ArcGIS Enterprise using ArcPy Who this book is for If you are a GIS student or professional who wants to understand how to use ArcPy to reduce repetitive tasks and perform analysis faster, then this book is for you. Python programmers who want to learn how to automate geospatial analyses and implement ArcGIS Online data management will also find this book useful. Table of Contents Introduction to Python for ArcGIS Creating the First Python Script ArcPy Cursors - Search, Insert, and Update ArcPy Geometry Objects and Cursors Creating a Script Tool The arcpy.mapping Module Advanced Analysis Topics Introduction to ArcGIS Online ArcPy and ArcGIS Online ArcREST Python Package ArcPy and ArcGIS Pro ArcGIS API for Python About the Author Silas Toms is a certified GIS Professional and the author of the first edition of ArcPy and ArcGIS. President and founder of Loki Intelligent Corporation, a location information firm located in San Francisco, California, he is an expert in real-time geographic information systems and analysis automation. Along with Dara O'Beirne and Arini Geographics, he developed the real-time common operational picture used at Super Bowl 50 and all other events at Levi's Stadium in Santa Clara, California. This dynamic system was recognized by the White House and ESRI President, Jack Dangermond, as a unique and powerful application of GIS, allowing the federal, state, and local government to coordinate and communicate in real time, for the first time ever. As the President of Loki Intelligent, Silas is focused on unique applications of GIS that will power the future of location information. The sheer amount of data collected through sensors and mobile reporting demands automation and data processing improvements to turn the raw input into location intelligence. He believes that correct application of geospatial analysis, web mapping, and mobile data collection will improve the decision-mak
