Modelling biological populations in space and time:
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 dynami...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
1990
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| Series: | Cambridge studies in mathematical biology
11 |
| Subjects: | |
| Online Access: | BSB01 FHN01 URL des Erstveröffentlichers |
| Summary: | 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 |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (xvii, 403 pages) |
| ISBN: | 9780511624094 |
| DOI: | 10.1017/CBO9780511624094 |
Staff View
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Record in the Search Index
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| any_adam_object | |
| author | Renshaw, Eric |
| author_facet | Renshaw, Eric |
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| ctrlnum | (ZDB-20-CBO)CR9780511624094 (OCoLC)967678933 (DE-599)BVBBV043940820 |
| dewey-full | 574.5/248/072 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 574 - [Unassigned] |
| dewey-raw | 574.5/248/072 |
| dewey-search | 574.5/248/072 |
| dewey-sort | 3574.5 3248 272 |
| dewey-tens | 570 - Biology |
| discipline | Biologie Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511624094 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:14Z |
| institution | BVB |
| isbn | 9780511624094 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029349790 |
| oclc_num | 967678933 |
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| owner | DE-12 DE-92 |
| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (xvii, 403 pages) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 1990 |
| publishDateSearch | 1990 |
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| publisher | Cambridge University Press |
| record_format | marc |
| series2 | Cambridge studies in mathematical biology |
| spelling | Renshaw, Eric Verfasser aut Modelling biological populations in space and time Eric Renshaw Modelling Biological Populations in Space & Time Cambridge Cambridge University Press 1990 1 online resource (xvii, 403 pages) txt rdacontent c rdamedia cr rdacarrier 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 Population biology / Statistical methods Spatial analysis (Statistics) Populationsdynamik (DE-588)4046803-3 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Populationsbiologie (DE-588)4046800-8 gnd rswk-swf Populationsbiologie (DE-588)4046800-8 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Populationsdynamik (DE-588)4046803-3 s 2\p DE-604 Erscheint auch als Druckausgabe 978-0-521-30388-0 Erscheint auch als Druckausgabe 978-0-521-44855-0 https://doi.org/10.1017/CBO9780511624094 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Renshaw, Eric Modelling biological populations in space and time Population biology / Statistical methods Spatial analysis (Statistics) Populationsdynamik (DE-588)4046803-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd Populationsbiologie (DE-588)4046800-8 gnd |
| subject_GND | (DE-588)4046803-3 (DE-588)4114528-8 (DE-588)4046800-8 |
| title | Modelling biological populations in space and time |
| title_alt | Modelling Biological Populations in Space & Time |
| title_auth | Modelling biological populations in space and time |
| title_exact_search | Modelling biological populations in space and time |
| title_full | Modelling biological populations in space and time Eric Renshaw |
| title_fullStr | Modelling biological populations in space and time Eric Renshaw |
| title_full_unstemmed | Modelling biological populations in space and time Eric Renshaw |
| title_short | Modelling biological populations in space and time |
| title_sort | modelling biological populations in space and time |
| topic | Population biology / Statistical methods Spatial analysis (Statistics) Populationsdynamik (DE-588)4046803-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd Populationsbiologie (DE-588)4046800-8 gnd |
| topic_facet | Population biology / Statistical methods Spatial analysis (Statistics) Populationsdynamik Mathematisches Modell Populationsbiologie |
| url | https://doi.org/10.1017/CBO9780511624094 |
| work_keys_str_mv | AT renshaweric modellingbiologicalpopulationsinspaceandtime AT renshaweric modellingbiologicalpopulationsinspacetime |