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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

Exploring SQL

Let’s get a feel for the capabilities and advantages of working with datasets in a spatial database. SQL is described as a declarative programming language. If you have experience in a coding environment, this might be a fairly big departure.

In a declarative programming language, you write what you want to do, and the program figures it out. SQL is a query language that sends queries to manipulate and retrieve data from the database. In an object-oriented programming (OOP) language such as Python, for example, you need to specify system calls incorporating libraries and various packages. Although Python’s syntax is readable, a familiarity with built-in data structures, powerful libraries, frameworks, and a relative commitment to scripting expertise is required. PostgreSQL includes extensions to write procedures in additional programming languages such as Python and R, for example, but the focus here is on SQL and spatial SQL.

In Figure 1.8, you will...

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Geospatial Analysis with SQL
Published in: Oct 2023
Publisher: Packt
ISBN-13: 9781835083147
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