Book Image

Python for ArcGIS Pro

By : Silas Toms, Bill Parker
Book Image

Python for ArcGIS Pro

By: Silas Toms, Bill Parker

Overview of this book

Integrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results. Starting from programming basics and building in complexity, two experienced ArcGIS professionals-turned-Python programmers teach you how to incorporate scripting at each step: automating the production of maps for print, managing data between ArcGIS Pro and ArcGIS Online, creating custom script tools for sharing, and then running data analysis and visualization on top of the ArcGIS geospatial library, all using Python. You’ll use ArcGIS Pro Notebooks to explore and analyze geospatial data, and write data engineering scripts to manage ongoing data processing and data transfers. This exercise-based book also includes three rich real-world case studies, giving you an opportunity to apply and extend the concepts you studied earlier. Irrespective of your expertise level with Esri software or the Python language, you’ll benefit from this book’s hands-on approach, which takes you through the major uses of Python for ArcGIS Pro to boost your ArcGIS productivity.
Table of Contents (20 chapters)
1
Part I: Introduction to Python Modules for ArcGIS Pro
5
Part II: Applying Python Modules to Common GIS Tasks
10
Part III: Geospatial Data Analysis
14
Part IV: Case Studies
18
Other Books You May Enjoy
19
Index

Raster Analysis with Python

Both the arcpy and arcgis modules have raster tools included in their classes and methods. For arcpy, the tools exposed are available in the Spatial Analyst toolbox, as well as some unique methods of performing Map Algebra known as operators. For the arcgis module, the tools are available in the arcgis.raster class.

In this chapter, we will use a Notebook in ArcGIS Pro and a digital elevation model (DEM) TIF file to explore how to use Python with raster data. We will cover the following topics:

  • Raster data objects and their properties
  • ArcPy raster tools: The Spatial Analyst toolset and Map Algebra
  • Using arcgis.raster

Each section covers a distinct component and does not require the completion of the preceding component.

To complete the exercises in this chapter, please download and unzip the Chapter9.zip folder from the GitHub repository for this book:https://github.com/PacktPublishing/Python-for-ArcGIS-Pro...