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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

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837639175
Length 432 pages
Edition 4th Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (18) Chapters Close

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 17. Other Books You May Enjoy

Jupyter

The Jupyter project is something you should be aware of when working with geospatial or other scientific data. The Jupyter Notebook app creates and displays notebook documents in a web browser as human-readable and machine-executable code and data. It’s great for sharing tutorials for software and has become very common in the geospatial Python world.

You can find a good introduction to Jupyter Notebook and Python at https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/what_is_jupyter.html.

Now that we know how to install libraries and avoid software conflicts with the powerful Anaconda environment, let’s look at Python’s original package management system.

PyPI and pip

PyPI acts as the official software repository for libraries and offers an easy-to-use setup program that simplifies the installation of packages, named pip, short for Python Installation Program. Installing a package is as simple as the following command:

pip install...
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