Visualising the probability distribution function of uncertain data: application to stochastic modelling of ground water solute transport

  • Authors:

  • Alan E. McKinnon;Emma Raymond

  • Affiliations:

  • Lincoln University, Canterbury, New Zealand;Lincoln University, Canterbury, New Zealand

  • Venue:
  • APVis '01 Proceedings of the 2001 Asia-Pacific symposium on Information visualisation - Volume 9
  • Year:
  • 2001

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Abstract

An overview of previous approaches to the visualisation of uncertainty is presented making the distinction between verity visualisation, where the uncertainty information is an integral part of information presentation and overloading where the information and its uncertainty are displayed separately. In either case the uncertainty information is usually represented as a standard error or confidence interval. We present some preliminary results from our attempts to visualise the probability distribution of uncertain data produced by colleagues who are developing a stochastic model of ground water solute dispersion.