Book Image

Geospatial Analysis with SQL

By : Bonny P McClain
Book Image

Geospatial Analysis with SQL

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
Section 2: SQL for Spatial Analytics

Exploring PostGIS for Geographic Analysis

We have been working with PostGIS to support geographic analysis (geometry and geography). Being open source and using additional spatial functions allows us to store geometric information. In this chapter, you will continue to learn how to work with the spatial reference identifier (SRID), as well as a few non-spatial functions. Information and instructions will be formatted as case studies that highlight open source data. These vignettes will correlate with how questions are formulated and encourage creativity and curiosity.

As a brief refresher, when referring to PostGIS, we mean the open source Postgres spatial extension for working with spatial databases. The main reason I rely on PostgreSQL is its natural integration with spatial information at no additional cost. This is the environment where we can execute location queries in SQL. As you will see in the next chapter, we can integrate expanded geoprocessing functions with QGIS as...