The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo propõe uma interface de análise visual (VA) para dados de séries temporais para que possa resolver os problemas decorrentes da propriedade dos dados de séries temporais: uma colisão entre interação e animação no aspecto temporal, colisão de interação entre o aspecto temporal e aspectos espaciais e a compensação entre precisão de exploração, eficiência e escalabilidade entre diferentes métodos de visualização. Para resolver esses problemas, este artigo propõe uma interface VA que pode lidar uniformemente com mudanças temporais e espaciais. As trajetórias podem mostrar mudanças temporais espaciais, das quais a manipulação direta permite examinar a relação entre os objetos em um determinado momento ou ao longo de todo o intervalo de tempo. A utilidade da interface proposta é demonstrada através de experimentos.
Rei TAKAMI
Tokyo Metropolitan University
Yasufumi TAKAMA
Tokyo Metropolitan University
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Rei TAKAMI, Yasufumi TAKAMA, "Proposal and Evaluation of Visual Analytics Interface for Time-Series Data Based on Trajectory Representation" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 1, pp. 142-151, January 2020, doi: 10.1587/transinf.2019ZDP0002.
Abstract: This paper proposes a visual analytics (VA) interface for time-series data so that it can solve the problems arising from the property of time-series data: a collision between interaction and animation on the temporal aspect, collision of interaction between the temporal and spatial aspects, and the trade-off of exploration accuracy, efficiency, and scalability between different visualization methods. To solve these problems, this paper proposes a VA interface that can handle temporal and spatial changes uniformly. Trajectories can show temporal changes spatially, of which direct manipulation enables to examine the relationship among objects either at a certain time point or throughout the entire time range. The usefulness of the proposed interface is demonstrated through experiments.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019ZDP0002/_p
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@ARTICLE{e103-d_1_142,
author={Rei TAKAMI, Yasufumi TAKAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Proposal and Evaluation of Visual Analytics Interface for Time-Series Data Based on Trajectory Representation},
year={2020},
volume={E103-D},
number={1},
pages={142-151},
abstract={This paper proposes a visual analytics (VA) interface for time-series data so that it can solve the problems arising from the property of time-series data: a collision between interaction and animation on the temporal aspect, collision of interaction between the temporal and spatial aspects, and the trade-off of exploration accuracy, efficiency, and scalability between different visualization methods. To solve these problems, this paper proposes a VA interface that can handle temporal and spatial changes uniformly. Trajectories can show temporal changes spatially, of which direct manipulation enables to examine the relationship among objects either at a certain time point or throughout the entire time range. The usefulness of the proposed interface is demonstrated through experiments.},
keywords={},
doi={10.1587/transinf.2019ZDP0002},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Proposal and Evaluation of Visual Analytics Interface for Time-Series Data Based on Trajectory Representation
T2 - IEICE TRANSACTIONS on Information
SP - 142
EP - 151
AU - Rei TAKAMI
AU - Yasufumi TAKAMA
PY - 2020
DO - 10.1587/transinf.2019ZDP0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2020
AB - This paper proposes a visual analytics (VA) interface for time-series data so that it can solve the problems arising from the property of time-series data: a collision between interaction and animation on the temporal aspect, collision of interaction between the temporal and spatial aspects, and the trade-off of exploration accuracy, efficiency, and scalability between different visualization methods. To solve these problems, this paper proposes a VA interface that can handle temporal and spatial changes uniformly. Trajectories can show temporal changes spatially, of which direct manipulation enables to examine the relationship among objects either at a certain time point or throughout the entire time range. The usefulness of the proposed interface is demonstrated through experiments.
ER -