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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
Author Profile Icon Bonny P McClain
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

An Overview of Spatial Statistics

In this chapter, we are going to build a story by adding new spatial queries. pgAdmin is a great resource for exploring our data, executing queries, and using advanced database tools (as covered in more detail in Chapter 7, Exploring PostGIS for Geographic Analysis), but I usually work with QGIS when it comes to using spatial analysis and data visualization.

Census data is notoriously complex but it is worth understanding a few straightforward tasks to render the available files, as this is informative and critical to understanding the impacts of urbanization, changing population demographics, and resource scarcity (to name just a few).

In the last chapter, you were introduced to a few spatial methods such as SQL, ST_Distance and ST_Intersects. In this chapter, we will build toward discovering patterns in our data. Traditional statistical methods do not account for spatial relationships such as patterns and clusters, so we will explore data and...

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