| Project/Area Number |
15K12032
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
High performance computing
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| Research Institution | The University of Aizu |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
有川 正俊 東京大学, 空間情報科学研究センター, 特任教授 (30202758)
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| Co-Investigator(Renkei-kenkyūsha) |
WU Hsiang-Yun 慶應義塾大学, 理工学部, 特任助教 (00706749)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 可視化 / 地図学 / 視覚メタファー / 抽象データ / 塑性化 / 地図設計原理 / 疎性化 |
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| Outline of Final Research Achievements |
The objective of this research project is to formulate techniques for visualizing abstract data including relationships among people in the community with schematic railway maps. Schematic railway maps based on visual metaphors are more likely to provide better readability of the abstract data due to its daily use in our life. However, such visual representations based on railway maps have often been designed individually by expert illustrators because the connectivities of the input networks usually need proper simplification before being transformed into schematic representations. In this research, we first transform the input abstract data into sparse representations and visualizing them as schematic railway networks. This is accomplished by formulating aesthetic criteria for designing schematic railway networks, which also allows us to explore new techniques for visualizing abstract data based on network schematization.
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