Abstract
Time dependent Poisson point processes are considered to describe spatial point patterns in time. Asymptotic equilibrium, extinction and explosion as long-time behaviour of the system may (eventually) occur. To lay the appropriate foundation for programming adaption of such processes to discrete and finite structures will be investigated. A further type of data from ecological case studies are spatially aggregated counts. An open stochastic network model will be proposed to describe the time dependent abundance of different species in a finite number of observation windows considering simple kinds of interaction.
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References
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© 1994 Springer-Verlag Berlin Heidelberg
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Bäumer, HP., Ortleb, H., Pfeifer, D., Schleier-Langer, U. (1994). Stochastic Modelling of Spatial and Dynamic Patterns. Applications in Ecology. In: Dutter, R., Grossmann, W. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-52463-9_12
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DOI: https://doi.org/10.1007/978-3-642-52463-9_12
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0793-6
Online ISBN: 978-3-642-52463-9
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