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Learning Geospatial Analysis with Python

You're reading from Learning Geospatial Analysis with Python Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

Product type Paperback

Published in Nov 2023

Publisher Packt

ISBN-13 9781837639175

Length 432 pages

Edition 4th Edition

Languages

Python

Tools

ChatGPT

Concepts

Geospatial Analysis

Author (1):

Joel Lawhead

View More author details

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 FREE CHAPTER

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

Why subscribe?

17. Other Books You May Enjoy

Technical requirements

The following is a list of technical requirements for this chapter:

Python 3.6 or higher
RAM: Minimum 6 GB (Windows), 8 GB (macOS); recommended 8 GB
Storage: Minimum 7200 RPM SATA with 20 GB of available space; recommended SSD with 40 GB of available space
Processor: Minimum Intel Core i3 2.5 GHz; recommended Intel Core i5 common traits

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Authors (1)

Joel Lawhead

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified GIS Professional (GISP), and vice president of NVision Solutions, Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog.

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