Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: An air quality example

Edzer J. Pebesma*, Kor de Jong, David Briggs

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This paper introduces a method for visually exploring spatio-temporal data or predictions that come as probability density functions, e.g. output of statistical models or Monte Carlo simulations, under different scenarios. For a given moment in time, we can explore the probability dimension by looking at maps with cumulative or exceedance probability while varying the attribute level that is exceeded, or by looking at maps with quantiles while varying the probability value. Scenario comparison is done by arranging the maps in a lattice with each panel reacting identically to legend modification, zooming, panning, or map querying. The method is illustrated by comparing different modelling scenarios for yearly NO2 levels in 2001 across the European Union.

Original languageEnglish
Pages (from-to)515-527
Number of pages13
JournalInternational Journal of Geographical Information Science
Volume21
Issue number5
DOIs
Publication statusPublished - 1 Jan 2007

Keywords

  • Cumulative density function
  • Dynamic graphics
  • Environmental modelling
  • Maps
  • Probability density function

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