|
Many terms are used to describe models. There is no strict classification for the types of models
In describing modeling techniques and models, one comes across several terms and no strict system to classify the types of models.
Conceptual models try to schematically show interlinks between different components of a complex process or system. These form the basis for traditional physical models or knowledge-driven models that are designed or generated with an intent to explain the underlying processes.
Data-driven models on the other hand rely heavily on collected and/or simulated data, and on the process on generalization and idealization. Data-driven models may form the basis of predictive models that present different future scenarios based on differences in initial conditions and other parameters set for modeling
Mathematical models use numerical or analytical methods to describe a system or phenomena. Statistical models use statistical tools to draw interpretations and conclusions from available data.
Models are also named according to the geographic extent they cover. Global models deal with representation of the whole Earth, whereas regional and local models cover more limited spatial extents.
When data is given the form of a graphic output, it creates a visual output, which sometimes is referred to as a visual model and the process is referred to as visualization.
Reference: Teaching with Models by Bob McKay
 Crawford-Brown, D., LaRocca, S., 2006, Teaching Systems Principles and Policy Applications Using a Reduced-Scale Carbon Cycle Model for Global Warming, Journal of Geoscience Education, v. 54, p. 301-311
Savanick, S, Perry, J., 2006, Using the Campus Nitrogen Budget to Teach about the Nitrogen Cycle, Journal of Geoscience Education, v. 54, p. 312-319
|
