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Geospatial Analysis with SQL

By Bonny P McClain
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  1. Free Chapter
    Section 1: Getting Started with Geospatial Analytics
About 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.
Publication date:
October 2023
Publisher
Packt
Pages
234
ISBN
9781835083147

 

Section 1: Getting Started with Geospatial Analytics

Readers will learn how spatial SQL increases efficiency in working with geospatial databases. Also, prior to analyzing geospatial data, the reader will learn about the frameworks and the distinction between geometry and geography. This is the primary difference between SQL and spatial SQL. They will learn about spatial algorithms and will begin integrating GIS functions into a modern SQL computing environment.

This section has the following chapters:

  • Chapter 1, Introducing the Fundamentals of Geospatial Analytics
  • Chapter 2, Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography
  • Chapter 3, Analyzing and Understanding Spatial Algorithms
  • Chapter 4, An Overview of Spatial Statistics
About the Author
  • Bonny P McClain

    Bonny P McClain applies advanced data analytics, including data engineering and geo-enrichment, to discussions of poverty, race, and gender. Racism, class exploitation, sexism, nationalism, and heterosexism all contribute to social inequality. Bonny redefines how we measure these attributes and how we can more accurately identify amenable interventions. Spatial data hosts a variety of physical and cultural features that reveal distribution patterns and help analysts and data professionals understand the underlying drivers of these patterns. Bonny is a popular conference keynote and workshop leader. Her professional goals include exploring large datasets and curating empathetic answers to larger questions, making a big world seem smaller.

    Browse publications by this author
Geospatial Analysis with SQL
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