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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

Null values in PostgreSQL

Before we dive into analysis, it is important to understand what null signifies and what we can do with it. Briefly, in Postgres, NULL has no value. It doesn’t equal 0, so you can’t use it in mathematical calculations. In a nutshell, it indicates a field without a value. In large datasets, it makes sense that not all columns contain data. In the case of OSM, perhaps that street has not been labeled with a name or the identity of that building is unknown. It doesn’t mean the value is nothing but that it is unknown. In the PostgreSQL database, there are different scenarios where NULL is the expected value – this differs in each coding language, so be vigilant (and curious).

The data we will use for the rest of this chapter can be found in the GitHub repository mentioned earlier and includes Rondinia.gdb. As a reminder, we will locate the downloaded files in the Browser area, add them to the canvas, and bring them into PostgreSQL...

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