Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGIS

Key Features

• •  Follow along with actionable instructions with this practical guide
• •  Become well-versed in advanced spatial modeling and machine learning techniques
• •  Learn best practices for performing spatial analysis from an expert spatial data analyst

Book Description

Geospatial analysis is used in almost every industry to answer location-related questions. Combined with the power of SQL, which is becoming a popular choice for developers and analysts worldwide, this technology will help you to solve real-world spatial problems easily. This book shows you how to detect and quantify patterns in datasets through data exploration, data visualization, data engineering, and the application of analysis and spatial techniques.

You'll begin by exploring the fundamentals of geospatial analysis and understand its importance along with vector and raster models, among other things. You'll then look at the framework for geospatial analysis using SQL and progress through the chapters to create a spatial database and analyze it. In the next part, you'll advance to learning about using SQL functions and building SQL queries.

By the end of this book, you'll be able to make the most of open source libraries and frameworks such as PostGIS and QGIS for analyzing spatial information.

What you will learn

• •  Understand geospatial fundamentals as a basis for learning spatial SQL
• •  Generate point, line, and polygon data with SQL
• •  Create geometry objects with WKT, WKB, and GeoJSON
• •  Use spatial data types to abstract and encapsulate spatial structures
• •  Work with open source GIS combined with plug-ins
• •  Visualize spatial data and expand QGIS functionality with Postgres
• •  Apply location data to leverage spatial analytics
• •  Perform single-layer and multiple-layer spatial analyses

Who this book is for

This book is for anyone looking to leverage their SQL knowledge to perform geospatial analysis. GIS analysts, data analysts, and data scientists with a basic understanding of both geospatial analysis and SQL will find this book useful.

Table of Contents
1. Introducing the Fundamentals of Geospatial Analytics
2. Conceptual Framework for SQL Spatial Data Science - Geometry Versus Geography
3. Analyzing and Understanding Spat ial Algorithms
4. An Overview of Spatial Statistics
S. Using SQL Functions - Spatial and Non-Spatial
6. Building SQL Queries Visually in a Graphical Query Builder
7. Exploring PostGIS for Geographic Analysis
8. Integrating SQL with QGIS

About the Author

Bonny applies advanced data analytics including data engineering and geoenrichment to discussions of poverty, race, and gender. Core themes of racism, class exploitation, sexism and nationalism and heterosexism all contribute to social inequality. Bonny redefines how we measure these attributes and how we can more accurately identify factors amenable to intervention. Spatial data hosts a variety of physical and cultural features to reveal distribution patterns helping analysts and data professionals understand underlying drivers of these patterns.Bonny is a popular conference keynote and workshop leader. Professional goals include exploring large datasets and curating empathetic answers to larger questions--making a big world seem smaller.