The need for biological realism in the updating of cellular automata models

The need for biological realism in the updating of cellular automata models Spatially explicit models like cellular automata are widely used in ecology. The spatio-temporal order of events is a new feature of these models that does not have to be considered in equivalent non-spatial models. We considered simple stochastic cellular automata to test sensitivity of model response under different spatial and temporal sequences of events. The results indicate that very important differences in model output can be found as spatio-temporal ordering is changed, even in a very simple model. A careful choice of the way events are evaluated has to be made: the spatio-temporal ordering must be selected to match the biological characteristics of the target ecological system to be modelled. Further, a complete description of the details of this ordering should be specified in order to let others reproduce published simulation experiments. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Modelling Elsevier

The need for biological realism in the updating of cellular automata models

Ecological Modelling, Volume 107 (2) – Apr 1, 1998

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Publisher
Elsevier
Copyright
Copyright © 1998 Elsevier Science B.V.
ISSN
0304-3800
eISSN
1872-7026
D.O.I.
10.1016/S0304-3800(97)00179-8
Publisher site
See Article on Publisher Site

Abstract

Spatially explicit models like cellular automata are widely used in ecology. The spatio-temporal order of events is a new feature of these models that does not have to be considered in equivalent non-spatial models. We considered simple stochastic cellular automata to test sensitivity of model response under different spatial and temporal sequences of events. The results indicate that very important differences in model output can be found as spatio-temporal ordering is changed, even in a very simple model. A careful choice of the way events are evaluated has to be made: the spatio-temporal ordering must be selected to match the biological characteristics of the target ecological system to be modelled. Further, a complete description of the details of this ordering should be specified in order to let others reproduce published simulation experiments.

Journal

Ecological ModellingElsevier

Published: Apr 1, 1998

References

  • Spatial model error analysis using autocorrelation indices
    Henebry, G.M
  • Effects of the spatial and temporal ordering of events on the behaviour of a simple cellular automaton
    Ruxton, G.D

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