Spatio-temporal difference in model outputs and parameter space as determined by calibration extent
The wider availability of spatial data and increased computational power have created a renaissance in urban land use modeling. While the proliferation of urban models has benefited the geographic sciences, their use in and implications for public policy decisions may not yet be warranted. There is still much to be understood about these models, especially the calibration of these models, from which forecasts are derived. This paper looks at the calibration of a model for a large geographic region at several spatial extents, showing the differences between the forecasts based on each extent, and the how these differences can proliferate their way into making policy decisions based on these forecasts.
Reference: Proceedings of the 7th International Conference on GeoComputation
, University of Southampton, United Kingdom, 8 - 10 September 2003.
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