Abstract
Recent progress has been made on spatial mathematical models of population processes. We review a few of these: the spatial Galton–Watson model, modern versions that add migration and immigration and thereby may avoid the increasing concentration of population into an ever smaller space (clusterization), models involving a random environment, and two versions of the Bolker–Pakala model, in which mortality (or birth rate) is affected by competition.
For the first author, this work has been funded by the Russian Academic Excellence Project ‘5-100’.
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Molchanov, S., Whitmeyer, J. (2017). Spatial Models of Population Processes. In: Panov, V. (eds) Modern Problems of Stochastic Analysis and Statistics. MPSAS 2016. Springer Proceedings in Mathematics & Statistics, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-319-65313-6_17
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DOI: https://doi.org/10.1007/978-3-319-65313-6_17
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