Evaluation Platform of Sustainability for Global Systems: Statistical Approach to Geospatial Information for Big Data Integration
Sato, Aki-Hiro, Tsubaki, Hiroe
- 出版商: Springer
- 出版日期: 2024-05-12
- 售價: $4,290
- 貴賓價: 9.5 折 $4,076
- 語言: 英文
- 頁數: 143
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819722950
- ISBN-13: 9789819722952
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相關分類:
大數據 Big-data
海外代購書籍(需單獨結帳)
相關主題
商品描述
The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration. Grid Square statistics is a technique that allows us to collect and analyze data based on Grids and makes it easier to understand patterns and trends. Sustainability, a key concern for the future of our society, often involves balancing multiple independent objectives. These objectives and key performance indicators must be shared to solve multi-dimensional optimization problems with some constraints related to sustainability issues. However, many of these sustainability issues are challenges that are part of global systems, which are modeled as a complex system consisting of many components. Social, economic, and environmental aspects in our socio-economic systems require solutions designed for the sustainability of our society.
These conditions imply that Big Data must contribute to evaluating our current situation, actions, and changes to continuously change our behavior and society based on a Plan-Do-Check-Action (PDCA) cycle. The PDCA cycle, also known as the Deming cycle, is a four-step management method used to improve processes and products continuously. We must understand how to construct a platform by using Big Data to do so. Thus, extracting meaningful information from Big Data is crucially important in the advanced information society.
This book provides case studies based on Grid Square statistics. It shows their applications to socio-economic and environmental problems such as tourism, where we analyze visitor patterns to optimize resource allocation, SDGs indicator, where we monitor the sustainability of our socio-economic systems, and disaster management, where we face natural disaster to enhance preparedness. Finally, the book proposes a World Grid Square Statistics Reference Architecture for constructing data applications across organizations and domains and reports on design concepts, system architecture, and the implication of a data platform for World Grid Square data and statistics.
商品描述(中文翻譯)
本書的作者們聲稱，Grid Square統計是一種在地理定義的網格內聚合數據的方法，可能是處理大數據整合的有效解決方案。Grid Square統計是一種技術，它允許我們根據網格收集和分析數據，並使得理解模式和趨勢變得更加容易。可持續性是我們社會未來的一個關鍵問題，通常涉及平衡多個獨立目標。這些目標和關鍵績效指標必須共享，以解決與可持續性問題相關的多維度優化問題的一些限制。然而，許多這些可持續性問題是全球系統的一部分，被建模為由許多組件組成的複雜系統。我們社會經濟系統中的社會、經濟和環境方面需要針對我們社會的可持續性設計解決方案。
這些條件意味著大數據必須有助於評估我們當前的情況、行動和變化，並根據Plan-Do-Check-Action（PDCA）循環不斷改變我們的行為和社會。PDCA循環，也被稱為德明循環，是一種用於不斷改進流程和產品的四步管理方法。我們必須了解如何利用大數據構建平台來實現這一目標。因此，從大數據中提取有意義的信息在先進的信息社會中至關重要。
本書提供了基於Grid Square統計的案例研究。它展示了它們在旅遊等社會經濟和環境問題上的應用，我們通過分析訪客模式來優化資源分配，SDGs指標，我們監測社會經濟系統的可持續性，以及災害管理，我們面臨自然災害以增強應變能力。最後，本書提出了一個用於跨組織和領域構建數據應用的World Grid Square統計參考架構，並報告了設計概念、系統架構以及World Grid Square數據和統計的數據平台的影響。
作者簡介
Aki-Hiro Sato works as Professor at Department of Data Science, Graduate School of Data Science, Yokohama City University. Aki-Hiro Sato received a Doctor of Information Sciences in Graduate School of Information Sciences from Tohoku University, Sendai, Japan in 2001. From 2000 to 2001, he worked as a Doctoral Fellow of the Japan Society for the Promotion of Science at the Research Institute of Electrical Communication of Tohoku University. From 2001 to 2019, he worked at the Graduate School of Informatics, Kyoto University. He was PRESTO Researcher at Japan Science and Technology Agency from October 2015 to March 2020. He has been Professor at Yokohama City University since April 2020, the Representative Director at the Research Institute for World Grid Squares since November 2020, and Guest Professor at Statistical Research and Training Institute, the Ministry of Internal Affairs and Communications since May 2019. A.-H. Sato's current interests are in understanding both external and internal environments of our society. He attempts to shed light on these problems from a data-centric point of view. His recent other interests are related to the data-driven system design from the man-machine point of view based on data and statistics.
Hiroe Tsubaki is Director General and Professor Emeritus of the Institute of Statistical Mathematics in Tokyo, Vice President of Transdisciplinary Federation of Science and Technology and a member of International Academia for Quality. After he received his Ph. D. degree from the University of Tokyo, as an applied statistician for quality management he worked in drafting statistical guidelines of clinical trials for the Ministry of Health and Welfare and licensing practices for new drug application as an expert member of the New Drugs Investigation Committee of the Central Pharmaceutical Affairs Council in1990s. He also conducted ethical monitoring of clinical trials as a member of the Central Ethics Committee for Strategic Research of the Ministry of Health, Labour and Welfare in 2000s. He was awarded the Deming Prize Honor Award in 2021 for his social implementation of quality management concepts in various fields including clinical evaluation.
作者簡介(中文翻譯)
佐藤明宏（Aki-Hiro Sato）現任橫濱市立大學資料科學研究所教授。他於2001年在日本仙台東北大學資訊科學研究所獲得資訊科學博士學位。2000年至2001年期間，他在東北大學電信研究所擔任日本學術振興會的博士研究員。2001年至2019年，他在京都大學資訊學研究科任職。他曾於2015年10月至2020年3月期間擔任日本科學技術振興機構的PRESTO研究員。自2020年4月起，他擔任橫濱市立大學教授，自2020年11月起擔任世界格網研究所的代表董事，自2019年5月起擔任統計研究訓練所（內政部）的客座教授。佐藤明宏目前的研究興趣在於了解社會的外部和內部環境，並試圖從數據中心的角度解決這些問題。他最近的其他研究興趣與基於數據和統計的人機觀點的數據驅動系統設計有關。
椿廣衛（Hiroe Tsubaki）是東京統計數學研究所的總幹事和名譽教授，也是跨學科科學與技術聯合會的副會長和國際品質學院的成員。在從東京大學獲得博士學位後，他作為應用統計學家在質量管理領域工作，為日本衛生福利部制定臨床試驗統計指南和新藥申請許可實踐，並擔任中央藥事審議會新藥調查委員會的專家成員。他還擔任日本衛生、勞動和福利部中央戰略研究倫理委員會的成員，負責監督臨床試驗的倫理問題。他因在臨床評估等各個領域中實施品質管理概念而於2021年獲得德明獎榮譽獎。
