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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

Connecting to databases and executing SQL queries

There is an ST_ spatial prefix, which stands for Spatial Type, on all evolving PostGIS functions.

This evolution is aligned with the ISO standard SQL-MM defining the spatial type and associated routines. In this case, MM stands for multimedia.

This is all you need to know about it because all prior formats have been deprecated (and are tolerated but not supported). Not all of the functions will automatically spatially index but fortunately for us, the most popular ones do. The && operator in Figure 3.3 selects bounding boxes that overlap or touch. The operator is an index-only query.

Now run the following code and notice how many rows are returned. The output for Figure 3.3 yields 2,790 rows that meet the criteria of having extremely low-income units.

SELECT * FROM ch3."Affordable_Housing_Production_by_Building" borough
JOIN ch3."DOHMH_Indoor_Environmental_Complaints" Incident_Address_Borough...
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