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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

Packages enabling spatial analysis and modeling

The prior section focused primarily on packages that enable you to work with and perform operations on spatial data. In this next section, we’ll introduce you to packages that allow you to conduct spatial data analysis and modeling.

PySAL

PySAL, or the Python Spatial Analysis Library, is a collection of open source packages that support geospatial data science. PySAL’s collection of libraries can be broken down into four main categories:

  • Lib: This is the main library of PySAL, which contains the core backbone architecture for creating spatial indices, working with spatial relationships, and creating what is known as a spatial weights matrix
  • Explore: Contains libraries that enable you to conduct an exploratory analysis of both spatial and spatiotemporal data
  • Model: Contains libraries that provide estimations based on spatial relationships present in the data through the use of linear, generalized linear...
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