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)
Free Chapter
Section 1: Getting Started with Geospatial Analytics
Section 2: SQL for Spatial Analytics

Aggregation and sorting queries

These quick queries are useful, but often, you will need to manage more complex queries or access more than one table in your database.

Understanding census-designated places

Census-designated places are statistical entities used by the US Census Bureau. Think of unincorporated places with boundaries outside of incorporated places but relying on services provided to the general area. They are basically communities that look like cities.

We will start with something more interesting than locating an airport with b included in its name. Let’s use the database manager query manager to write a simple SQL query. Select all the rows from our table. You can indicate an alias if you want to simplify the code, SELECT * FROM ch6."Census_Designated_Places_2020" c, and now, any time you refer to the table, it can simply be c.geom or, for example. I will start doing this practice as we move to complex queries but I find it can be...