Geospatial Analysis with SQL: A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL


Geospatial Analysis with SQL: A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL
by Bonny P McClain (Author)
Publisher Finelybook 出版社: Packt Publishing (January 27, 2023)
Language 语言: English
pages 页数: 234 pages
ISBN-10 书号: 180461646X
ISBN-13 书号: 9781804616468


Book Description
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
Introducing the Fundamentals of Geospatial Analytics
Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography
Analyzing and Understanding Spatial Algorithms
An Overview of Spatial Statistics
Using SQL Functions – Spatial and Non-Spatial
Building SQL Queries Visually in a Graphical Query Builder
Exploring PostGIS for Geographic Analysis
Integrating SQL with QGIS

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