Geospatial Analysis with SQL

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Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
Release Year
2023
ISBN
9781804616468
Category

About this product

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
180461646X
ISBN-13
9781804616468
eBay Product ID (ePID)
25058790662

Product Key Features

Book Title
Geospatial Analysis with SQL : A Hands-On Guide to Performing Geospatial Analysis by Unlocking the Syntax of Spatial SQL
Number of Pages
234 Pages
Language
English
Topic
Earth Sciences / Geography, Remote Sensing & Geographic Information Systems
Publication Year
2023
Genre
Technology & Engineering, Science
Author
Bonny P. Mcclain, Bonny P Mcclain
Format
Trade Paperback

Dimensions

Item Length
92.5 in
Item Width
75 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
23
Dewey Decimal
910.285
Synopsis
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 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. What you will learn Understand geospatial fundamentals as a basis for learning spatial SQL Generate point, line, and polygon data with SQL 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. ]]>, 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.
LC Classification Number
G70.217.G46

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