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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

Developing knowledge about geographic space

The PostGIS documentation is an important tool for improving your understanding of spatial algorithms and how to execute efficient SQL queries. As we move past inquiry and into efficiency, it is important to pay attention to additional details. These will be explained as we move through the chapter.

Let’s begin by understanding spatial indexing. Unique to spatial databases, indexing is necessary to expedite searches and improve the speed of our queries.

But wait – you might be thinking – how do you index geometries? Isn’t that what makes a spatial database different? The simple answer is a spatial index is looking at bounding boxes—not simply the lines generated from their edges. Bounding boxes are rectangular polygons containing an object or an area of interest. Identified by xmax, xmin, ymax, and ymin, a bounding box is slightly different from an extent, as it can contain an extent but does not have...

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