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

Summary

In this chapter, you were introduced to geospatial fundamentals to help understand the graphical syntax of spatial data science. You discovered a few SQL basic queries and set up your workflow for the chapters that follow. Important concepts about the properties and characteristics of vector and raster data were also introduced.

In Chapter 2, Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography, you will begin learning about SQL by working with the database you created in this chapter.

The fundamentals of a query-based syntax will become clearer as you discover spatial functions for discovering patterns and testing hypotheses in the datasets.