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Spatial Models of Population Processes

P. 435–454.
Molchanov S., Whitmeyer J.
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.
Language: English
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Text on another site
Keywords: random environmentPopulation processGalton–Watson model
Publication based on the results of:
Вероятностные и статистические методы анализа сложных моделей, задаваемых стохастическими дифференциальными и разностными уравнениями (2017)

In book

Modern problems of stochastic analysis and statistics - Selected contributions in honor of Valentin Konakov
Modern problems of stochastic analysis and statistics - Selected contributions in honor of Valentin Konakov
Heidelberg: Springer, 2017.
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