Modelling biological populations in space and time /
Renshaw, Eric (Professor),
Modelling biological populations in space and time / Modelling Biological Populations in Space & Time Eric Renshaw. - Cambridge : Cambridge University Press, 1990. - 1 online resource (xvii, 403 pages) : digital, PDF file(s). - Cambridge studies in mathematical biology ; 11 . - Cambridge studies in mathematical biology ; 11. .
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
This volume develops a unifying approach to population studies, emphasising the interplay between modelling and experimentation. Throughout, mathematicians and biologists are provided with a framework within which population dynamics can be fully explored and understood. Aspects of population dynamics covered include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures. Both deterministic and stochastic models are considered. Whilst the more theoretically orientated sections will appeal to mathematical biologists, the material is presented so that readers with little mathematical expertise can bypass these without losing the main flow of the text.
9780511624094 (ebook)
Population biology--Statistical methods.
Spatial analysis (Statistics)
QH352 / .R46 1990
574.5/248/072
Modelling biological populations in space and time / Modelling Biological Populations in Space & Time Eric Renshaw. - Cambridge : Cambridge University Press, 1990. - 1 online resource (xvii, 403 pages) : digital, PDF file(s). - Cambridge studies in mathematical biology ; 11 . - Cambridge studies in mathematical biology ; 11. .
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
This volume develops a unifying approach to population studies, emphasising the interplay between modelling and experimentation. Throughout, mathematicians and biologists are provided with a framework within which population dynamics can be fully explored and understood. Aspects of population dynamics covered include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures. Both deterministic and stochastic models are considered. Whilst the more theoretically orientated sections will appeal to mathematical biologists, the material is presented so that readers with little mathematical expertise can bypass these without losing the main flow of the text.
9780511624094 (ebook)
Population biology--Statistical methods.
Spatial analysis (Statistics)
QH352 / .R46 1990
574.5/248/072