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Published byRyder Harcourt Modified over 2 years ago

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Review: Visual Methods for Analyzing Time-Oriented Data Authors: Wolfgang Aigner, Silvia Miksch, Wolfgang Mu¨ ller, Heidrun Schumann, and Christian Tominski

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Introduction This paper presents visualization techniques for various types of temporal data. Large amount of data – requires human analysis and decision making Aspects of visualizing temporal data – Visualization, analysis and user Time characteristics must be considered while visualizing temporal data Appropriate parameterization and interaction

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Types of Times Linear Time vs Cyclic Time Time Points vs Time Intervals Ordered Time vs Branching Time vs Time with multiple perspectives

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Linear Time vs Cyclic Time

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Time Points vs Time Intervals Time Wheel

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Time Points vs Time Intervals PlanningLines

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OrderTime ThemeRiver

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Branching Time and Time with multiple Perspectives Not many effective tools to visualize such data Mostly ordered data visualization or univariate visualization - planninglines

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Analyzing Time Oriented Data Temporal Data Abstraction Principal Component Analysis Clustering

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Temporal Data Abstraction VIE_VENTs schema Knowledge on data Context Sensitive Expectation guided Quant to Qualitative

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Temporal Data Abstraction The Spread Visualization - Oscillating Data

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Principal Component Based Analysis Dimensionality reduction technique Finding dimensions with maximum variance Transforming original dataset to different domain

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PCA Themeriver

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PCA Bar chart visualization of one component

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Clustering Calendar metophar

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Clustering

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User centered analysis via Events

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