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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Detalles Bibliográficos
Autores principales: Tkachenko, Natalie, Weissmann, John D., Petersen, Wesley P., Lake, George, Zollikofer, Christoph P. E., Callegari, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398609/
https://www.ncbi.nlm.nih.gov/pubmed/28426763
http://dx.doi.org/10.1371/journal.pone.0176101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398609/
https://www.ncbi.nlm.nih.gov/pubmed/28426763
http://dx.doi.org/10.1371/journal.pone.0176101

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