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
1
Section 1: Getting Started with Geospatial Analytics
6
Section 2: SQL for Spatial Analytics

Building prediction models

When beginning to analyze data spatially, there are a few practices that will make the endeavor run more smoothly. It is always important when bringing together more than one dataset to evaluate the geometry columns. Running the following code will give you a glimpse into the SRID and data type in Figure 4.20:

SELECT Find_SRID('ch4','hisplat_la','geom');
SELECT * FROM geometry_columns
Figure 4.20 – Reviewing the table catalog in pgAdmin

Figure 4.20 – Reviewing the table catalog in pgAdmin

Understanding how to query datasets with SQL is the first step in introducing prediction models to the database. The execution of these properties will be expanded on as our journey continues.

Exploring the below_poverty_censustract data for Los Angeles County, I want to be able to isolate a tract and explore neighboring tracts. Location and distance might hold clues for exploring marginalized communities or populations living below the poverty line.

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