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Applied Geospatial Data Science with Python

You're reading from   Applied Geospatial Data Science with Python Leverage geospatial data analysis and modeling to find unique solutions to environmental problems

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803238128
Length 308 pages
Edition 1st Edition
Languages
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Author (1):
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David S. Jordan David S. Jordan
Author Profile Icon David S. Jordan
David S. Jordan
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Table of Contents (17) Chapters Close

Preface 1. Part 1:The Essentials of Geospatial Data Science
2. Chapter 1: Introducing Geographic Information Systems and Geospatial Data Science FREE CHAPTER 3. Chapter 2: What Is Geospatial Data and Where Can I Find It? 4. Chapter 3: Working with Geographic and Projected Coordinate Systems 5. Chapter 4: Exploring Geospatial Data Science Packages 6. Part 2: Exploratory Spatial Data Analysis
7. Chapter 5: Exploratory Data Visualization 8. Chapter 6: Hypothesis Testing and Spatial Randomness 9. Chapter 7: Spatial Feature Engineering 10. Part 3: Geospatial Modeling Case Studies
11. Chapter 8: Spatial Clustering and Regionalization 12. Chapter 9: Developing Spatial Regression Models 13. Chapter 10: Developing Solutions for Spatial Optimization Problems 14. Chapter 11: Advanced Topics in Spatial Data Science 15. Index 16. Other Books You May Enjoy

Working with GCS and PCS in Python

While we have not yet taken a deep dive into setting up a geospatial data science environment in Python, as that is coming up in Chapter 4, Exploring Geospatial Data Science Packages, it is of relevance for us to walk you through how to work with geographic and projected coordinate systems within Python at this time.

There are two notable packages that we’ll reference in this section: PyProj and geopandas. While we won’t spend the time in this chapter diving too deep into the weeds of either of these packages, as we’ll save that for the next chapter, it is relevant for you to know that both of these packages are useful for working with spatial data and projections.

PyProj

PyProj is a Python package used to transform geospatial coordinates from one coordinate reference system into another. The PyProj package is useful when working with cartographic projections and geodetic transformations. As of the time of writing this...

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