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

Downloading datasets

In this section, we will start building the ETL in our Notebook by downloading the following datasets:

  • World countries
  • Population
  • Rainfall
  • Agricultural land
  • Crop yields
  • Pesticide and fertilizer use
  • Temperature change

Let’s get started. Create a new Notebook in ArcGIS Pro named CropYieldETL using the New Notebook option under the Insert tab:

Graphical user interface, text, application, email  Description automatically generated

Figure 13.3: New empty Notebook named “CropYieldETL”

World countries

First, you will search for and download a country boundary dataset from ArcGIS Online using the ArcGIS API for Python.

  1. In the first cell, you will import the API with the following code:
    from arcgis.gis import GIS 
    

    Run the cell.

  1. Once imported, you will connect to two separate instances. The first one is anonymous and will be used for searching for datasets; the second takes your ArcGIS Pro login credentials for download...