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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
Concepts
Author (1):
Joel Lawhead Joel Lawhead
Profile icon Joel Lawhead
LinkedIn
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.
See other products by 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

Part 2:Geospatial Analysis Concepts

This part represents the main building blocks of this book, where you’ll be introduced to Python’s role in the industry, with different code examples and data editing concepts. You’ll learn about geospatial products and how they can be applied to solve problems. Then, you’ll see how to practically work with remote sensing data using Python. At the end of this part, you’ll learn how elevation data can be used in any geospatial format to analyze 3D features.

This part contains the following chapters:

  • Chapter 4, Geospatial Python Toolbox
  • Chapter 5, Python and Geospatial Algorithms
  • Chapter 6, Creating and Editing GIS Data
  • Chapter 7, Python and Remote Sensing
  • Chapter 8, Python and Elevation Data
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Authors (1)

Profile icon Joel Lawhead
LinkedIn
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.
Read more
See other products by Joel Lawhead

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