Big Data: Techniques and Technologies in Geoinformatics (Hardcover)

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data.

Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information.

With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.

大數據一直以來都是地理信息學中的一個重大挑戰，因為地理空間數據存在各種類型和格式，新的地理空間數據獲取速度非常快，而地理空間數據庫本身非常龐大。儘管在處理大數據方面硬件和軟件有所進步，但它們往往無法高效和有效地處理地理空間大數據。《地理信息學中的大數據技術與技術》正面迎接這些挑戰，整合了存儲、管理和計算地理空間大數據的技術和技術。

本書基於對時間、應用和資源的分析，為讀者介紹了屬於大數據範疇的地理空間應用。它探討了地理空間數據收集的新趨勢，例如地理眾包和先進的數據收集技術，如LiDAR點雲。本書涵蓋了地理信息學中大數據技術和技術的各種主題，包括分布式計算、地理空間數據分析、社交媒體和志願地理信息。

本書的章節由地理信息學和計算機工程等領域的專家貢獻，提供了對地理信息學應用中大數據的挑戰和問題的理解。本書是一本關於收集、分析、管理、處理和可視化地理空間大數據所需的當前和新興技術、技術和工具的綜合集合。