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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

Exploring PostGIS for Geographic Analysis

We have been working with PostGIS to support geographic analysis (geometry and geography). Being open source and using additional spatial functions allows us to store geometric information. In this chapter, you will continue to learn how to work with the spatial reference identifier (SRID), as well as a few non-spatial functions. Information and instructions will be formatted as case studies that highlight open source data. These vignettes will correlate with how questions are formulated and encourage creativity and curiosity.

As a brief refresher, when referring to PostGIS, we mean the open source Postgres spatial extension for working with spatial databases. The main reason I rely on PostgreSQL is its natural integration with spatial information at no additional cost. This is the environment where we can execute location queries in SQL. As you will see in the next chapter, we can integrate expanded geoprocessing functions with QGIS as...

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