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

Introducing the Fundamentals of Geospatial Analytics

Understanding where something happened is often the key to understanding why it occurred in the first place. A flood wipes out a village in a remote country 1,000 miles away. If you are thinking geospatially, you are curious about climate forecasting, the demographics of the population, the nature of the soil, the topography of the land, and building footprints or structures. The ability to point to a spot on a map is only a small part of data collection. When you begin to think about roads and distances to impacted villages requiring disaster relief, you would be limited by point-to-point Cartesian geometry. This chapter will help you to understand why.

The process of detecting and quantifying patterns in datasets requires data exploration, visualization, data engineering, and the application of analysis and spatial techniques. At its core, geospatial technology provides an opportunity to explore location intelligence and how...