Description

Many ecological phenomena may be modelled using apparently random processes involving space (and possibly time). Such phenomena are classified as spatial in their nature and include all aspects of pollution. This book addresses the problem of modelling spatial effects in ecology and population dynamics using reaction-diffusion models.
* Rapidly expanding area of research for biologists and applied mathematicians
* Provides a unified and coherent account of methods developed to study spatial ecology via reaction-diffusion models
* Provides the reader with the tools needed to construct and interpret models
* Offers specific applications of both the models and the methods
* Authors have played a dominant role in the field for years
Essential reading for graduate students and researchers working with spatial modelling from mathematics, statistics, ecology, geography and biology.

Spatial Ecology via Reaction-Diffusion Equations

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Hardback by Robert Stephen Cantrell , Chris Cosner

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Short Description:

Many ecological phenomena may be modelled using apparently random processes involving space (and possibly time). Such phenomena are classified as... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 23/09/2003
    ISBN13: 9780471493013, 978-0471493013
    ISBN10: 0471493015

    Number of Pages: 432

    Non Fiction , Mathematics & Science , Education

    Description

    Many ecological phenomena may be modelled using apparently random processes involving space (and possibly time). Such phenomena are classified as spatial in their nature and include all aspects of pollution. This book addresses the problem of modelling spatial effects in ecology and population dynamics using reaction-diffusion models.
    * Rapidly expanding area of research for biologists and applied mathematicians
    * Provides a unified and coherent account of methods developed to study spatial ecology via reaction-diffusion models
    * Provides the reader with the tools needed to construct and interpret models
    * Offers specific applications of both the models and the methods
    * Authors have played a dominant role in the field for years
    Essential reading for graduate students and researchers working with spatial modelling from mathematics, statistics, ecology, geography and biology.

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