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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

Static and dynamic geospatial data

Geospatial data can typically be viewed as static or dynamic. Static geospatial data is data that does not change over a short-term time period. This data can include things such as the epicenter of an earthquake, the location of a store, or the number of college-educated adults. Dynamic geospatial data, in contrast, can change in real time. This data can include the location of a shopper within a shopping mall, the position of a bike courier delivering food, or the spread of an infectious disease such as the SARS-CoV-2 virus that caused the COVID-19 pandemic. Dynamic geospatial data is often referred to as spatiotemporal data, or data relating to both space and time. Static and dynamic geospatial data comes in two formats: vector and raster. We’ll discuss them in detail in the following section.

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