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group_modelling:goodnessoffit [2009/03/27 14:50] – inpeifgigroup_modelling:goodnessoffit [2009/03/27 14:51] – inpeifgi
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 The complex relations between biophysical and anthropological factors generate the land change patterns of our environment. In order to study this complex phenomena, we have to rely on simulation models, for example cellular automata or agent-based models. LUCC simulation models usually generate a new map given a real world map of land cover classes. In the figure below, the left map shows the real data and the right one the simulated results. The complex relations between biophysical and anthropological factors generate the land change patterns of our environment. In order to study this complex phenomena, we have to rely on simulation models, for example cellular automata or agent-based models. LUCC simulation models usually generate a new map given a real world map of land cover classes. In the figure below, the left map shows the real data and the right one the simulated results.
  
 +{{  encontros_e_eventos:simulation-real-world-pontius.jpg  }}
 Figure 1: Example of real world data (left) and a simulation (right). Source: Pontius (2002) Figure 1: Example of real world data (left) and a simulation (right). Source: Pontius (2002)
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 Considering that "all models are wrong, but some are useful" (Box 1999), model assessment should address the most feasible requirements, such as testing how well the model fits the data and if it is useful for certain purposes. Considering that "all models are wrong, but some are useful" (Box 1999), model assessment should address the most feasible requirements, such as testing how well the model fits the data and if it is useful for certain purposes.
group_modelling/goodnessoffit.txt · Última modificação: 2009/06/09 18:00 por inpeifgi