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

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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Bibliographic Details
Main Authors: Natalie Tkachenko, John D Weissmann, Wesley P Petersen, George Lake, Christoph P E Zollikofer, Simone Callegari
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5398609?pdf=render

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http://europepmc.org/articles/PMC5398609?pdf=render

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