Geospatial Analysis with SQL

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 QGISKey FeaturesFollow along with actionable instructions with this practical guideBecome well-versed in advanced spatial modeling and machine learning techniquesLearn best practices for performing spatial analysis from an expert spatial data analystBook DescriptionGeospatial 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.Youll begin by exploring the fundamentals of geospatial analysis and understand its importance along with vector and raster models among other things. Youll 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 youll advance to learning about using SQL functions and building SQL queries.By the end of this book youll be able to make the most of open source libraries and frameworks such as PostGIS and QGIS for analyzing spatial information.What you will learnUnderstand geospatial fundamentals as a basis for learning spatial SQLGenerate point line and polygon data with SQLCreate geometry objects with WKT WKB and GeoJSONUse spatial data types to abstract and encapsulate spatial structuresWork with open source GIS combined with plug-insVisualize spatial data and expand QGIS functionality with PostgresApply location data to leverage spatial analyticsPerform single-layer and multiple-layer spatial analysesWho this book is forThis 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.