Testing Popular Visualization Techniques for Representing Model Uncertainty

@inproceedings{Aerts2004TestingPV,
  title={Testing Popular Visualization Techniques for Representing Model Uncertainty},
  author={Jeroen C. J. H. Aerts and Keith C. Clarke and Alex D. Keuper},
  year={2004}
}
Many land allocation issues, such as land-use planning, require input from extensive spatial databases and involve complex decision-making. Spatial decision support systems (SDSS) are designed to make these issues more transparent and to support the design and evaluation of land allocation alternatives. In this paper we analyze techniques for visualizing uncertainty of an urban growth model called SLEUTH, which is designed to aid decision-makers in the field of urban planning and fits into the… CONTINUE READING
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