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Geospatial Analysis with SQL

Geospatial Analysis with SQL

By : Bonny P McClain
4.7 (14)
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Geospatial Analysis with SQL

Geospatial Analysis with SQL

4.7 (14)
By: Bonny P McClain

Overview of this book

Geospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques. You will begin by exploring the fundamentals of geospatial analysis where you’ll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler’s second law of geography states, “the phenomenon external to a geographic area of interest affects what goes on inside.” This quote will be the framework of the geospatial questions we will explore. You’ll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions. By the end of this book, you will have an expanded toolbox of analytic skills such as PostGIS and QGIS to explore data questions and analysis of spatial information.
Table of Contents (13 chapters)
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Section 1: Getting Started with Geospatial Analytics
6
Section 2: SQL for Spatial Analytics

Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography

Before analyzing geospatial data, you will need to learn about the frameworks of spatial analysis and the important distinction between geometry and geography. This is the primary difference between SQL and spatial SQL and is an important consideration when bringing data together from different datasets and—potentially—different SRIDs. Think about the difference between a map of bike rental locations your hotel might provide while you are visiting from out of town. Perhaps a local graphic designer creates it to show you sketches of the nearby ice cream shop and other amenities within a few blocks of your location. How easy do you think it would be to superimpose this map with perhaps one you brought with you from a local visitors center on your drive into town?

This is the same challenge when bringing multiple datasets together. We need to have confidence in our source of “truth...

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Geospatial Analysis with SQL
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