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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 FREE CHAPTER
2. Chapter 1: Introducing the Fundamentals of Geospatial Analytics 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

Spatial databases

Geospatial data is vast and often resides in databases or data warehouses. Data stored in a filesystem is only accessible through your local computer and is limited to the speed and efficiency of your work space. Collecting and analyzing geographic information within storage systems of relationally structured data increases efficiency.

Spatial databases are optimized for storing and retrieving your data. Data stored in databases are accessed through client software. The client is a computer or hostname (where the database is located).

Next, the server listens for requests on a port. There are a variety of ports, but with PostgreSQL, the default is 5432—but more on that later. The final pieces of information are about security and accessibility. You will select a username and password to access the database. Now, the client has all it needs to access the database. The data within a database is formatted as tables and resides with the host either locally...

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