The use of fuzzy models in a GIS environment is mostly a static application. This means that a set of inputs produces one output. (To perform a dynamic simulation the simulation has to be repeated.) Most ecological processes are dynamic, describing for example the growth of a population. Many growth processes can be described using a set of differential equations. For example, the simulation of the coverage degree for the habitat model of the lesser spotted eagle is such a dynamic process. This process can be implemented as separate program using a programming language like C or C++ or alternatively using a simulation system like MATLAB or its free counterpart 'SAMTDESIRE'. Using a simulation system has some advantages like an easy-to-learn language (compared to C++) or a integrated graphic to investigate the simulations. The disadvantage is the interaction between the dynamic modeling part and the spatial part. (The often used transfer via the file system is too slow for spatial distributed dynamic simulation.) The software is developing very fast and efforts are ongoing to integrate spatial and dynamic modeling.
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