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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

Fundamentals of a query-based syntax

Don’t worry if this section isn’t completely intuitive. Play around with simple queries to become familiar with how the queries are executed. In a nutshell, here are the foundational elements to remember when selecting data from tables. The columns have headings that need to be entered exactly as they are spelled in the source dataset. Don’t worry— we can change both table names and column headings. Have a look at the following syntax:

SELECT some_columns FROM some_data_source WHERE some_condition;

This will make sense when we begin thinking about data questions and what information to consider.

Changing column names

I write SQL keywords such as SELECT, FROM, WHERE in all caps to improve readability, but SQL is not case-sensitive. You can decide to use lowercase if you prefer. This is relevant when you begin renaming your tables when working within a database or GIS.

The data in Figure 2.11 is from the...

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