DocumentCode
556663
Title
Species area relations and information rich modelling of plant species variation
Author
Furze, James ; Zhu, Quan Min ; Qiao, Feng ; Hill, Jennifer
Author_Institution
Fac. of Environ. & Technol., Univ. of the West of England, Bristol, UK
fYear
2011
fDate
10-10 Sept. 2011
Firstpage
63
Lastpage
68
Abstract
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.
Keywords
botany; ecology; least squares approximations; modelling; regression analysis; biogeography; climatic variables; computer science; information rich modelling; least squares regression; mathematical theory; modelling based approach; plant species variation; species area relations; Biogeography; Biological system modeling; Clouds; Computational modeling; Correlation; Mathematical model; Temperature distribution; biogeography; computer science; mathematics; modelling; species area;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Computing (ICAC), 2011 17th International Conference on
Conference_Location
Huddersfield
Print_ISBN
978-1-4673-0000-1
Type
conf
Filename
6084902
Link To Document