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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

Aggregation and sorting queries

These quick queries are useful, but often, you will need to manage more complex queries or access more than one table in your database.

Understanding census-designated places

Census-designated places are statistical entities used by the US Census Bureau. Think of unincorporated places with boundaries outside of incorporated places but relying on services provided to the general area. They are basically communities that look like cities.

We will start with something more interesting than locating an airport with b included in its name. Let’s use the database manager query manager to write a simple SQL query. Select all the rows from our table. You can indicate an alias if you want to simplify the code, SELECT * FROM ch6."Census_Designated_Places_2020" c, and now, any time you refer to the table, it can simply be c.geom or c.name, for example. I will start doing this practice as we move to complex queries but I find it can be...

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