Granularity and disaggregation in compositional modelling with applications to ecological systems

Abstract

J. Keppens and Q. Shen. Granularity and disaggregation in compositional modelling with applications to ecological systems. Applied Intelligence, 25(3):269-292, 2006.In the past decade, compositional modelling (CM) has established itself as the predominant knowledge-based approach to construct mathematical (simulation) models automatically. Although it is mainly applied to physical systems, there is a growing interest in applying CM to other domains, such as ecological and socio-economic systems. Inspired by this observation, this paper presents a method for extending the conventional CM techniques to suit systems that are fundamentally presented by interacting populations of individuals instead of physical components or processes. The work supports building model repositories for such systems, especially in addressing the most critical outstanding issues of granularity and disaggregation in ecological systems modelling.Peer reviewe

Modelling, Simulation, and Visualization of Forest Ecosystems

“…Following increases in computer power, interest in the research of individual tree models has grown up to the research of algorithms for modelling entire ecosystems [10], where the simulation of afforestation had begun to play the key role [11], [12]. By passing a limited number of parameters to the model, many emerging trees grow over the landscape according to the modelled natural laws.…”