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Ways of Not KnowingWays of Not Knowing
Penny Rheingans
University of Maryland Baltimore County
Penny Rheingans
University of Maryland Baltimore County
Penny RheingansPenny Rheingans Dagstuhl, June 2011
UncertaintyUncertainty
Wikipedia: “applies to predictions of future events, to physical measurements already made, or to the unknown”
Wikipedia: “applies to predictions of future events, to physical measurements already made, or to the unknown”
Webster: “the quality or state of being uncertain : doubt”
Webster: “the quality or state of being uncertain : doubt”
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Predictive ModelsPredictive Models
Rheingans and desJardins, Vis ‘05Rheingans and desJardins, Vis ‘05
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Missing DataMissing Data
Cedilnik and Rheingans, Vis ‘00Cedilnik and Rheingans, Vis ‘00
Penny RheingansPenny Rheingans Dagstuhl, June 2011
SimulationsSimulations
Grigoryan and Rheingans, TVCG ‘04 Grigoryan and Rheingans, TVCG ‘04
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Sampled ConfigurationsSampled Configurations
Joshi and Rheingans, Vissym ‘99Joshi and Rheingans, Vissym ‘99
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Statistical MorphologyStatistical Morphology
Caban, Rheingans, and Yoo, Eurovis ‘11Caban, Rheingans, and Yoo, Eurovis ‘11
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Heterogeneity from AggregationHeterogeneity from Aggregation
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Chlan and Rheingans, Infovis ‘05
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Multi-value ClassificationMulti-value Classification
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Penny RheingansPenny Rheingans Dagstuhl, June 2011
Elements of UncertaintyElements of Uncertainty
Measures Estimated error Multiple estimated errors Data quality metrics Range of a location Range of a value Heterogeneous value Variability of classification
Measures Estimated error Multiple estimated errors Data quality metrics Range of a location Range of a value Heterogeneous value Variability of classification
Display Elements Scalar Multiple scalars Secondary scalar Spatial distribution Scalar; distribution Avg; Distribution of scalar Distribution of nominal
Display Elements Scalar Multiple scalars Secondary scalar Spatial distribution Scalar; distribution Avg; Distribution of scalar Distribution of nominal
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Other Potential UncertaintiesOther Potential Uncertainties
Old data Unreliable provenance Residual from abstraction Distributions of value/uncertainty Ensemble predictions Variability of relationships/structure Uncertainty about causality Imprecision in tacit knowledge
Old data Unreliable provenance Residual from abstraction Distributions of value/uncertainty Ensemble predictions Variability of relationships/structure Uncertainty about causality Imprecision in tacit knowledge
Penny RheingansPenny Rheingans Dagstuhl, June 2011
Yet more complicationsYet more complications
Can we quantify/represent the imprecision introduced by the visualization process?
How will the image will interact with the HVS? Do we know who will be viewing the image? Do we know how the image will be used? What are risks of misrepresentation?
Can we quantify/represent the imprecision introduced by the visualization process?
How will the image will interact with the HVS? Do we know who will be viewing the image? Do we know how the image will be used? What are risks of misrepresentation?
