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An animated and interactive interface for visualizing dynamics of air quality change

An animated and interactive interface for visualizing dynamics of air quality change. Feng Qi, Assistant Professor Dept. of Geology and Meteorology Kean University, NJ April 09, 2009. The problem.

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An animated and interactive interface for visualizing dynamics of air quality change

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  1. An animated and interactive interface for visualizing dynamics of air quality change Feng Qi, Assistant Professor Dept. of Geology and Meteorology Kean University, NJ April 09, 2009

  2. The problem • Large amounts of data are being collected for local environmental monitoring and through funded research projects to monitor and model environmental qualities at various scales. • Time series data • Present results • To expert? • To the public, common audience

  3. Traditional presentations of results

  4. Traditional presentations of results TSP = 136.44684 + 24.52080 spr_ind + 15.20418 d_50 – 64.85563 wind_high – 37.85891 wind_low – 0.85512 Humidity + 9.45595 Precipitation – 0.00174 NorthBoundDiesel + 2.35774 day_ind + 19.21703 sum_ind – 0.00052981 TotalGasoline

  5. Traditional presentations of results • Key words: • Interesting? • Engaging? • Simple? • Easy? • Key words: • Public communication • Simple Animation • Interaction

  6. Animation • Eye-candy only? • Our ‘eye-brain system is finely tuned to seeing and understanding motion and change’. • Help generate new insights into dynamic processes that can be difficult with statistical analysis or static visualizations • Engage audience • Readers go into the map, especially if interactions are allowed

  7. Air quality data visualization • Key: simple, easy, fun, … • Considerations: • Large amount of data • Animation is good, and can represent lots of data! • However, we have very limited, short-term visual memory---we can only absorb very limited information from visual stimuli • And if there’re multiple variables……

  8. Air quality data visualization • Exploratory Data Analysis (EDA) methods • Temporal brushing • Temporal re-expression (DiBiase) • Cross-variable referencing • Benchmarking (Harrower) • Google finance charts • …… • To help common users ‘distill’ information (knowledge discovery by common users)

  9. The animated sequence

  10. The interactive time series interface

  11. Facilitate Knowledge discovery • Data Preprocessing • Outlier detection • Feature selection • Data Mining • Knowledge Consolidation • Information Presentation Facilitate Model Validation

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