Handbook of Big Geospatial Data
暫譯: 大地理空間數據手冊
Werner, Martin, Chiang, Yao-Yi
- 出版商: Springer
- 出版日期: 2021-05-08
- 售價: $9,810
- 貴賓價: 9.5 折 $9,320
- 語言: 英文
- 頁數: 641
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030554619
- ISBN-13: 9783030554613
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商品描述
This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data.
It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique.
This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.
商品描述(中文翻譯)
本手冊涵蓋了與地理空間數據的收集、處理、分析及其各種形式的使用相關的廣泛主題。本手冊提供了如何組織和實施大數據的空間計算技術以解決現實世界問題的概述。手冊中還包含了從室內地圖和導航、軌跡計算到太空觀測等多樣的子領域。它結合了專注於空間文本分析、不確定數據庫和空間統計的基本貢獻，以及使用 GPU 進行道路網絡檢測或共位檢測等應用範例。總之，本手冊對空間信息科學和大地理空間數據的豐富領域提供了必要的介紹和概述。
本手冊介紹了三個不同的視角，這三個視角共同定義了大地理空間數據的領域：社會視角、政府視角和治理視角。它討論了如何在公司和國家的層面上組織大地理空間數據的獲取、分配和利用的問題。第二個視角是一組以理論為導向的貢獻，針對任意空間數據，並介紹了空間統計或不確定數據庫的激動人心的領域。第三個視角則是從非常實際的角度看待大地理空間數據，涵蓋了描述如何實施大地理空間數據基礎設施以及如何在大地理空間數據之上實施特定應用的章節。例如，這可能包括歷史地圖數據的研究、道路網絡提取、從遙感影像中進行損害評估，或空間文本集合和社交媒體的分析。這種多學科的方法使本書獨具特色。
本手冊可作為專注於大地理空間數據的本科生、研究生和研究人員的參考資料。專業人士以及面對大量地理空間數據的實務工作者也可以使用本書。
作者簡介
Martin Werner The research area of Prof. Werner (*1984) includes methodological research around topics of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. He puts emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high performance computing and quantum algorithms.
Martin Werner studied mathematics at University Bonn, did a doctorate at the intersection of geometry and applications related to indoor navigation at LMU Munich. In his time as a postdoctoral researcher, junior professor, and senior researcher he completed his view on the processing of spatial data to a comprehensive perspective with stations at LMU Munich, Leibniz-University Hannover, German Aerospace Center (DLR), and UniBW Munich. In April 2020 he joined the faculty of aerospace and geodesy with a professorship for Big Geospatial Data Management.
Yao-Yi Chiang Yao-Yi Chiang, Ph.D., is an Associate Professor (Research) in Spatial Sciences, the Director of the Spatial Computing Laboratory, and the Associate Director of the NSF's Integrated Media Systems Center (IMSC) at the University of Southern California (USC). He is also a faculty member in Data Science in the USC Viterbi Data Science M.S. program. He is an Action Editor of GeoInformatica (Springer). Dr. Chiang received his Ph.D. degree in Computer Science from the University of Southern California, his bachelor's degree in Information Management from the National Taiwan University. His current research combines spatial science theories with computer algorithms to enable the discovery of useful insights from heterogeneous data for solving real-world problems. His research interests include information integration, machine learning, data mining, computer vision, and knowledge graphs. He has received funding from agencies such as NSF, NIH, DARPA, NGA, and NEH, as well as from industry partners such as NTT Global Networks, BAE Systems, Conveyancing Liability Solutions, and TerraGo. He was recently a visiting researcher at Google AI (2019). Before USC, Dr. Chiang worked as a research scientist for Geosemble Technologies and Fetch Technologies in California. Geosemble Technologies was founded based on a patent on geospatial data fusion techniques, and he was a co-inventor.
作者簡介(中文翻譯)
馬丁·維爾納 維爾納教授的研究領域（*1984）包括有關地理參考或幾何數據在大規模下的獲取、組織、壓縮、分析和可視化的各種方法論研究。他強調分散式計算、機器學習、影像和文本分析、隨機數據結構、高效能計算以及量子演算法的方法。
馬丁·維爾納在波恩大學學習數學，並在慕尼黑大學獲得幾何學與室內導航相關應用的博士學位。在擔任博士後研究員、助理教授和高級研究員期間，他在慕尼黑大學、漢諾威萊布尼茲大學、德國航空航天中心（DLR）和慕尼黑應用科技大學等機構完成了對空間數據處理的全面觀點。2020年4月，他加入航空航天與測量學系，擔任大規模地理空間數據管理的教授。
江耀毅 江耀毅博士是南加州大學（USC）空間科學的副教授（研究）、空間計算實驗室主任，以及國家科學基金會整合媒體系統中心（IMSC）的副主任。他也是USC維特比數據科學碩士課程的數據科學教員。他是《GeoInformatica》（Springer）的行動編輯。江博士在南加州大學獲得計算機科學博士學位，並在國立台灣大學獲得資訊管理學士學位。他目前的研究結合了空間科學理論與計算機演算法，以便從異質數據中發現有用的見解，解決現實世界的問題。他的研究興趣包括信息整合、機器學習、數據挖掘、計算機視覺和知識圖譜。他曾獲得國家科學基金會（NSF）、國家衛生研究院（NIH）、國防高級研究計劃局（DARPA）、國家地理空間情報局（NGA）和國家人文基金會（NEH）等機構的資助，以及NTT全球網絡、BAE系統、Conveyancing Liability Solutions和TerraGo等行業夥伴的資助。他最近在谷歌人工智慧（2019）擔任訪問研究員。在加入USC之前，江博士曾在加州的Geosemble Technologies和Fetch Technologies擔任研究科學家。Geosemble Technologies是基於地理空間數據融合技術的專利成立的，他是共同發明人之一。
