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Three categories of modelling based on the white-, the black- and the grey-box approaches are introduced.
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Nevertheless, each of these categories of models are not convenient for every application.
Abstractions and Design patterns are the last two categories of model transformation.
Three categories of models are presented: first-order Markov models, dynamic Markov models, and semi-Markov models.
Quantitative modeling is contrasted with conceptual or physical modeling, and four categories of model studies are presented.
Two different categories of models are available for the designers to choose from; physical modeling and mathematical modeling.
This paper proposes three categories of models: performance, cost, and value, and addresses the question of value model trading.
The chapter discusses the taxonomical categories of models and their organization and uses: narrative, physical, analog, mathematical, and heuristic.
Previous reviews of mixed forest modelling were restricted to certain categories of models only and were generally not considering application and suitability.
As the amount of material has increased, the theses have been clustered into five thematic categories of model drifts, which are then illustrated as metaphoric futures maps.
Therefore, using either one of the two categories of models is not enough for understanding/solving the current complex environmental issues that involve multiple aspects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com