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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

What Is Geospatial Data and Where Can I Find It?

To answer the first part of our question, geospatial data, in simplest terms, is data that has a geographic component—that is, a component that ties the data to a point on, or adjacent to, the Earth’s surface. To answer the second part of our question, geospatial data is quite literally all around you.

There are large volumes of geospatial open data that is collected, maintained, and released by public entities such as government agencies or non-governmental organizations (NGOs) as well as private corporations. The availability of geospatial data within the open data ecosystem has led to the rise of robust data standards that were developed and are actively used by the geospatial community. The development of community standards is talked about briefly in this chapter as it relates to data formats and publications.

In this chapter, you’ll learn about the following topics:

  • Static and dynamic geospatial...
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