Geospatial Analysis with SQL: A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL
暫譯: 使用 SQL 進行地理空間分析:解鎖空間 SQL 語法的實作指南
McClain, Bonny P.
- 出版商: Packt Publishing
- 出版日期: 2023-01-27
- 售價: $1,585
- 貴賓價: 9.5 折 $1,506
- 語言: 英文
- 頁數: 234
- 裝訂: Quality Paper - also called trade paper
- ISBN: 180461646X
- ISBN-13: 9781804616468
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相關分類:
SQL
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商品描述
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.
商品描述(中文翻譯)
利用 SQL 的強大功能進行地理空間分析,提升您在使用各種空間應用程式(如 PostGIS 和 QGIS)時的速度和效率。
主要特點
- 按照可行的指示進行操作,這本實用指南將引導您
- 精通進階的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進行空間分析的最佳實踐
書籍描述
地理空間分析幾乎在每個行業中都被用來回答與位置相關的問題。結合 SQL 的強大功能,這在全球開發者和分析師中越來越受歡迎,這項技術將幫助您輕鬆解決現實世界中的空間問題。本書展示了如何通過數據探索、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本原理,並了解其重要性,包括向量和光柵模型等內容。接著,您將研究使用 SQL 進行地理空間分析的框架,並逐步創建空間數據庫並進行分析。在接下來的部分,您將進一步學習使用 SQL 函數和構建 SQL 查詢。
到本書結束時,您將能夠充分利用開源庫和框架,如 PostGIS 和 QGIS,來分析空間信息。
您將學到的內容
- 理解地理空間基本原理,作為學習空間 SQL 的基礎
- 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
- 使用空間數據類型來抽象和封裝空間結構
- 結合插件使用開源 GIS
- 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
本書適合誰
本書適合任何希望利用其 SQL 知識進行地理空間分析的人。對地理空間分析和 SQL 有基本理解的 GIS 分析師、數據分析師和數據科學家將會發現本書非常有用。
目錄大綱
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
目錄大綱(中文翻譯)
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