Species area relations and information rich modelling of plant species variation

Least squares regression is used to show the relationship of species with area on a global scale. Using a modelling based approach climatic variables are selected and made use of in a proposed information rich model of plant species variation. Future developments include advances in mathematical the...

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Bibliographic Details
Published in2011 17th International Conference on Automation and Computin pp. 63 - 68
Main Authors Furze, J., Quan Min Zhu, Feng Qiao, Hill, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Biogeography
Biological system modeling
Clouds
Computational modeling
computer science
Correlation
Mathematical model
mathematics
modelling
species area
Temperature distribution
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ISBN1467300004
9781467300001

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Summary:Least squares regression is used to show the relationship of species with area on a global scale. Using a modelling based approach climatic variables are selected and made use of in a proposed information rich model of plant species variation. Future developments include advances in mathematical theory, biogeography and computer science.
ISBN:1467300004
9781467300001