Book Image

Mastering Geospatial Analysis with Python

By : Silas Toms, Paul Crickard, Eric van Rees
Book Image

Mastering Geospatial Analysis with Python

By: Silas Toms, Paul Crickard, Eric van Rees

Overview of this book

Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Packt Upsell
Geoprocessing with Geodatabases

Chapter 9. ArcGIS API for Python and ArcGIS Online

Thischapter will introduce the ArcGIS Application Program Interface(API) for Python and ArcGIS Online. The ArcGIS API for Python is a Python library for working with maps and geospatial data. This API can be installed locally usingcondaand interacts with Esri's cloud GIS, whether that's ArcGIS Online (SaaS) or Portal for ArcGIS, a server product thatoffers on-premises cloud GIS deployment for organizations. The API offers a modern solution to scripting for web mapping with Python and works well with Jupyter Notebooks.

The following topics will be covered in this chapter:


  • Introducing the ArcGIS API for Python
  • Installing the API
  • Using the API with different Esri user accounts
  • Introducing some modules of the API
  • Interacting with the API's map widget
  • Searching and displaying vector data
  • Displaying and geoprocessing of raster data
  • Setting up a personalized account for using ArcGIS Online
  • Publishing and managing content in ArcGIS Online