Design and Implementation of Analysis and Visualization Method using Large-scale Spatial-temporal Data

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K12026
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Multimedia database
• Research Institution: Nagoya University
• Principal Investigator: Nobuo Kawaguchi 名古屋大学, 工学研究科, 教授 (10273286)
• Research Collaborator: 特定非営利活動法人位置情報サービス研究機構(Lisra) 特定非営利活動法人位置情報サービス研究機構
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: データ可視化 / IoT / IoE / ビッグデータ / アナリティクス / データ分析 / アナリシス / データサイエンス

Outline of Final Research Achievements

Currently, various data are becoming readily available and spatial-temporal analysis and utilization are required everywhere in the real world. However, since spatial-temporal information is mapped on three dimensional space + time dimension, there are some difficulty to analyze and utilize the spatial-temporal data. In this research, we proposed a new spatial-temporal information analysis method to handle large-scale data easily. Additionally, we developed a visualization system for supporting by automatic execution such as 3D animation visualization and dynamic statistical processing function.

Free Research Field

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