Abstract
Biologists long have sought quantitative models to describe the process of dispersal: to aid understanding, to guide experimentation, and to facilitate prediction. The most common such models are of the random walk type, deriving from the assumption that individuals move in a series of discrete steps with probabilities totally determined by positional information. Learning is ignored.
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© 1986 Springer-Verlag Berlin Heidelberg
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Levin, S.A. (1986). Random Walk Models of Movement and Their Implications. In: Hallam, T.G., Levin, S.A. (eds) Mathematical Ecology. Biomathematics, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69888-0_7
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DOI: https://doi.org/10.1007/978-3-642-69888-0_7
Publisher Name: Springer, Berlin, Heidelberg
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