TY - JOUR
T1 - Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios
T2 - An air quality example
AU - Pebesma, Edzer J.
AU - de Jong, Kor
AU - Briggs, David
PY - 2007/1/1
Y1 - 2007/1/1
N2 - 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.
AB - 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.
KW - Cumulative density function
KW - Dynamic graphics
KW - Environmental modelling
KW - Maps
KW - Probability density function
UR - http://www.scopus.com/inward/record.url?scp=34347263667&partnerID=8YFLogxK
U2 - 10.1080/13658810601064009
DO - 10.1080/13658810601064009
M3 - Article
AN - SCOPUS:34347263667
SN - 1365-8816
VL - 21
SP - 515
EP - 527
JO - International Journal of Geographical Information Science
JF - International Journal of Geographical Information Science
IS - 5
ER -