Spatiotemporal Patterns in Ecology and Epidemiology - Theory, Models, and Simulation

Informationen zum Autor Malchow, Horst; Petrovskii, Sergei V.; Venturino, Ezio Klappentext Reviewing the significant progress made in understanding spatiotemporal patterning in ecological and epidemiological systems, this resource shows that mathematical modeling and numerical simulations are effective tools in the study of population ecology and epidemiology. It takes a unified approach to population dynamics and epidemiology by present Zusammenfassung Reviewing the significant progress made in understanding spatiotemporal patterning in ecological and epidemiological systems, this resource shows that mathematical modeling and numerical simulations are effective tools in the study of population ecology and epidemiology. It takes a unified approach to population dynamics and epidemiology by present Inhaltsverzeichnis Introduction. Models of Temporal Dynamics. Spatiotemporal Dynamics and Pattern Formation: Deterministic Approach. Spatiotemporal Patterns and Noise. References. Index.

Dettagli sul prodotto

• Autori: Horst Malchow, Horst (University of Osnabrueck Malchow, Horst Petrovskii Malchow, Horst Venturino Malchow, Malchow Horst, Sergei V. Petrovskii, Sergei V. (University of Leicester Petrovskii, Petrovskii Sergei V., Ezio Venturino, Ezio (Universit? degli Studi di Torino Venturino, Venturino Ezio
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 26.12.2007
• EAN: 9781584886747
• ISBN: 978-1-58488-674-7
• Pagine: 472
• Serie: Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Mathematical Biology Series
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Altro; Epidemiology & medical statistics, NATURE / Ecology, MATHEMATICS / General, MATHEMATICS / Applied, MEDICAL / Epidemiology, Biodiversity, Botany & plant sciences, Applied mathematics, Botany and plant sciences, Epidemiology and Medical statistics