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210308 ||| eng |
| 020 |
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|a 9780511624094
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| 050 |
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4 |
|a QH352
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| 100 |
1 |
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|a Renshaw, Eric
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| 245 |
0 |
0 |
|a Modelling biological populations in space and time
|c Eric Renshaw
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| 246 |
3 |
1 |
|a Modelling Biological Populations in Space & Time
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| 260 |
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|a Cambridge
|b Cambridge University Press
|c 1990
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| 300 |
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|a xvii, 403 pages
|b digital
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| 653 |
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|a Population biology / Statistical methods
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| 653 |
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|a Spatial analysis (Statistics)
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b CBO
|a Cambridge Books Online
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| 490 |
0 |
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|a Cambridge studies in mathematical biology
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| 028 |
5 |
0 |
|a 10.1017/CBO9780511624094
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| 856 |
4 |
0 |
|u https://doi.org/10.1017/CBO9780511624094
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 574.5248072
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| 520 |
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|a 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
|