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Geospatial Analysis with SQL

You're reading from   Geospatial Analysis with SQL A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781835083147
Length 234 pages
Edition 1st Edition
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Author (1):
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Bonny P McClain Bonny P McClain
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Bonny P McClain
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Table of Contents (13) Chapters Close

Preface 1. Section 1: Getting Started with Geospatial Analytics
2. Chapter 1: Introducing the Fundamentals of Geospatial Analytics FREE CHAPTER 3. Chapter 2: Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography 4. Chapter 3: Analyzing and Understanding Spatial Algorithms 5. Chapter 4: An Overview of Spatial Statistics 6. Section 2: SQL for Spatial Analytics
7. Chapter 5: Using SQL Functions – Spatial and Non-Spatial 8. Chapter 6: Building SQL Queries Visually in a Graphical Query Builder 9. Chapter 7: Exploring PostGIS for Geographic Analysis 10. Chapter 8: Integrating SQL with QGIS 11. Index 12. Other Books You May Enjoy

Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography

Before analyzing geospatial data, you will need to learn about the frameworks of spatial analysis and the important distinction between geometry and geography. This is the primary difference between SQL and spatial SQL and is an important consideration when bringing data together from different datasets and—potentially—different SRIDs. Think about the difference between a map of bike rental locations your hotel might provide while you are visiting from out of town. Perhaps a local graphic designer creates it to show you sketches of the nearby ice cream shop and other amenities within a few blocks of your location. How easy do you think it would be to superimpose this map with perhaps one you brought with you from a local visitors center on your drive into town?

This is the same challenge when bringing multiple datasets together. We need to have confidence in our source of “truth...

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