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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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Toc

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

Technical requirements

The data for the exercises in this chapter can be found on GitHub at https://github.com/PacktPublishing/Geospatial-Analysis-with-SQL

The following datasets will be used in this chapter:

  • Airport_Influence_area
  • Census_Designated_places_2020
  • Income_per_Capita per census tract
  • American Community Survey (ACS) – 1 year data

As we learned about geometric and geographic spatial queries in defining coordinates and locations, we investigated points, lines, and areas of polygons. When referring to a topological query, we are mainly interested in where objects are located and where they might intersect, in addition to specific attributes.

Topological SQL queries investigate spatial relations between tables or entities within a database. Topological criteria focus on the arrangement of entities in space. These arrangements are preserved regardless of projection. We have already explored spatial relationships such as distance...

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