Individual-based modelling of population growth and diffusion in discrete time

Individual-based models (IBMs) of human populations capture spatio-temporal dynamics using rules that govern the birth, behavior, and death of individuals. We explore a stochastic IBM of logistic growth-diffusion with constant time steps and independent, simultaneous actions of birth, death, and mov...

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Pubblicato in:PLoS One
Autori principali: Tkachenko, Natalie, Weissmann, John D., Petersen, Wesley P., Lake, George, Zollikofer, Christoph P. E., Callegari, Simone
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2017
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5398609/
https://ncbi.nlm.nih.gov/pubmed/28426763
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0176101
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