| 書目名稱 | Handbook of Big Geospatial Data | | 編輯 | Martin Werner,Yao-Yi Chiang | | 視頻video | http://file.papertrans.cn/421/420876/420876.mp4 | | 概述 | Covers current research in accessible language including references to the field, and therefore provides an ideal collection to explore the field of big geospatial data.Spans across traditionally isol | | 圖書封面 |  | | 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 ofhow 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 | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Algorithms for Big Data; Geographic Information Science; Uncertain Databases; Spatial Databases; Histori | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-55462-0 | | isbn_softcover | 978-3-030-55464-4 | | isbn_ebook | 978-3-030-55462-0 | | copyright | Springer Nature Switzerland AG 2021 |
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