Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Python for ArcGIS Pro
  • Table Of Contents Toc
  • Feedback & Rating feedback
Python for ArcGIS Pro

Python for ArcGIS Pro

By : Toms, Parker
4.8 (52)
close
close
Python for ArcGIS Pro

Python for ArcGIS Pro

4.8 (52)
By: Toms, 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)
close
close
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

Exercise: Statistical analysis of raster data using NumPy

In the Chapter 10 folder of the GitHub repo, you will find a set of rasters that represent pollution over New York City. This data covers 10 years of annual average pollution for a variety of pollution types. You will use the Nitrous Oxide files for this section. The files go from 2009 ("aa1_no300m") to 2018 ("aa10_no300m") and are at a resolution of 300 meters.

You’ll use them to explore the statistical methods available using NumPy, including mean, median, and standard deviation. You’ll also create histograms and charts depicting the reduction in pollution data over the 10-year monitoring period.

The data was downloaded from this dataset: https://catalog.data.gov/dataset/nyccas-air-pollution-rasters.

  1. To start, create a new cell in your Notebook and make sure you have the filepath for the raster pollution data for 2009. You’ll need to convert the raster...
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Python for ArcGIS Pro
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon