Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
 Learning Geospatial Analysis with Python - Fourth Edition

You're reading from  Learning Geospatial Analysis with Python - Fourth Edition

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781837639175
Pages 432 pages
Edition 4th Edition
Languages
Author (1):
Joel Lawhead Joel Lawhead
Profile icon Joel Lawhead

Table of Contents (18) Chapters

Preface 1. Part 1:The History and the Present of the Industry
2. Chapter 1: Learning about Geospatial Analysis with Python 3. Chapter 2: Learning about Geospatial Data 4. Chapter 3: The Geospatial Technology Landscape 5. Part 2:Geospatial Analysis Concepts
6. Chapter 4: Geospatial Python Toolbox 7. Chapter 5: Python and Geospatial Algorithms 8. Chapter 6: Creating and Editing GIS Data 9. Chapter 7: Python and Remote Sensing 10. Chapter 8: Python and Elevation Data 11. Part 3:Practical Geospatial Processing Techniques
12. Chapter 9: Advanced Geospatial Modeling 13. Chapter 10: Working with Real-Time Data 14. Chapter 11: Putting It All Together 15. Assessments 16. Index 17. Other Books You May Enjoy

Creating images for visualization

Now, we’re moving from calculations and data editing to something we can see! We’ll begin by creating different types of maps. In Chapter 1, Learning about Geospatial Analysis with Python, we visualized our SimpleGIS program using the Tkinter module that’s included with Python. In Chapter 4, Geospatial Python Toolbox, we examined a few other methods for creating images. Now, we’ll examine these tools in more depth by creating two specific types of thematic maps. The first is a dot density map and the second is a choropleth map.

First, let’s start with the dot density map.

Dot density calculations

A dot density map shows concentrations of subjects within a given area. If an area is divided up into polygons containing statistical information, you can model that information using randomly distributed dots within that area using a fixed ratio across the dataset. This type of map is commonly used for population...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £13.99/month. Cancel anytime}