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Geospatial Analysis with SQL

Geospatial Analysis with SQL

By : Bonny P McClain
4.7 (14)
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Geospatial Analysis with SQL

Geospatial Analysis with SQL

4.7 (14)
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)
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1
Section 1: Getting Started with Geospatial Analytics
6
Section 2: SQL for Spatial Analytics

Summary

In this chapter, you saw the value of spatial queries when comparing different datasets consisting of polygons or multipolygons. You uploaded vector and raster data into the database and were introduced to additional QGIS plugins. The ability to access data resources and import them using terminal helped create raster functions and explore the process of creating polygons out of rasters.

In this book, you have been introduced to SQL and geospatial analysis using PostGIS and QGIS as helpful tools in processing both vector geometries and raster data. I recommend exploring additional datasets and adding different functions to your query language skills.

I thank you for the time and attention along the way and wish you luck on your continued spatial journey.

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Geospatial Analysis with SQL
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