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

利用 SQL 的強大功能進行地理空間分析，提高在各種空間應用程式（如 PostGIS 和 QGIS）中的工作速度和效率。

主要特點：
- 跟隨實用指南中的可行指令進行操作
- 熟練掌握高級空間建模和機器學習技術
- 從專業的空間數據分析師那裡學習執行空間分析的最佳實踐方法

書籍描述：
地理空間分析在幾乎所有行業中都用於回答與位置相關的問題。結合 SQL 的強大功能，這項技術將幫助您輕鬆解決現實世界的空間問題。本書將向您展示如何通過數據探索、數據可視化、數據工程以及分析和空間技術的應用來檢測和量化數據集中的模式。

您將首先探索地理空間分析的基礎知識，了解其重要性以及矢量和栅格模型等相關內容。然後，您將研究使用 SQL 進行地理空間分析的框架，並逐步創建和分析空間數據庫。在接下來的部分中，您將進一步學習使用 SQL 函數和構建 SQL 查詢。

通過閱讀本書，您將能夠充分利用 PostGIS 和 QGIS 等開源庫和框架來分析空間信息。

您將學到：
- 以空間 SQL 為基礎，了解地理空間基礎知識
- 使用 SQL 生成點、線和多邊形數據
- 使用 WKT、WKB 和 GeoJSON 創建幾何對象
- 使用空間數據類型抽象和封裝空間結構
- 使用開源 GIS 以及插件進行工作
- 可視化空間數據，並通過 Postgres 擴展 QGIS 功能
- 應用位置數據以利用空間分析

執行單層和多層空間分析。

適合閱讀對象：
本書適合任何希望利用 SQL 知識進行地理空間分析的人。具備基本的地理空間分析和 SQL 理解的 GIS 分析師、數據分析師和數據科學家將會受益於本書。

1. Introducing the Fundamentals of Geospatial Analytics
2. Conceptual Framework for SQL Spatial Data Science – Geometry Versus Geography
3. Analyzing and Understanding Spatial Algorithms
4. An Overview of Spatial Statistics
5. Using SQL Functions – Spatial and Non-Spatial
6. Building SQL Queries Visually in a Graphical Query Builder
7. Exploring PostGIS for Geographic Analysis
8. Integrating SQL with QGIS

1. 介紹地理空間分析的基礎知識
2. SQL空間數據科學的概念框架 - 幾何學與地理學的比較
3. 分析和理解空間算法
4. 空間統計概述
5. 使用SQL函數 - 空間和非空間
6. 在圖形查詢生成器中以視覺方式構建SQL查詢
7. 探索用於地理分析的PostGIS
8. 將SQL與QGIS集成