review: visual methods for analyzing time-oriented data authors: wolfgang aigner, silvia miksch,...
TRANSCRIPT
Review: Visual Methods for Analyzing Time-Oriented Data
Authors: Wolfgang Aigner, Silvia Miksch, Wolfgang Mu¨ ller, Heidrun Schumann, and Christian Tominski
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
Types of Times
• Linear Time vs Cyclic Time• Time Points vs Time Intervals• Ordered Time vs Branching Time vs Time with
multiple perspectives
Linear Time vs Cyclic Time
Time Points vs Time Intervals
• Time Wheel
Time Points vs Time Intervals
• PlanningLines
OrderTime
• ThemeRiver
Branching Time and Time with multiple Perspectives
• Not many effective tools to visualize such data• Mostly ordered data visualization or univariate
visualization - planninglines
Analyzing Time Oriented Data
• Temporal Data Abstraction• Principal Component Analysis• Clustering
Temporal Data Abstraction
• VIE_VENT’s schema• Knowledge on data• Context Sensitive• Expectation guided• Quant to Qualitative
Temporal Data Abstraction
• The Spread Visualization - Oscillating Data
Principal Component Based Analysis
• Dimensionality reduction technique• Finding dimensions with maximum variance• Transforming original dataset to different
domain
PCA
• Themeriver
PCA
• Bar chart visualization of one component
Clustering
• Calendar metophar
Clustering
User centered analysis via Events