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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

Developing Solutions for Spatial Optimization Problems

Have you ever thought about what goes into ensuring that the packages you order online make it to your doorstep within their specified delivery window? Do you ever worry about the ability of your community’s fire, police, or emergency medical services to arrive promptly when you or your family is in need? The last time you took a flight, did you think about the complex logistics happening behind the scenes to ensure that your pilot, flight attendants, and even the plane made it to the right place at the right time so that you could get to your destination? Each of these scenarios presents us with an optimization problem that is founded on geography. In fact, in our modern society, a growing number of problems require spatially optimized solutions.

In this chapter, we will cover the topic of spatial optimization, which is a set of incredibly powerful spatial analysis tools that are used to find optimal or near-optimal...

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