Ecoregion classification using a bayesian approach and centre-focused clusters

Pullar, D. V., Low Choy, S. and Rochester, W. A. (2004). Ecoregion classification using a bayesian approach and centre-focused clusters. In: Pahl-Wostl, C.; Schmidt, S.; Rizzoli, Andrea, Jakeman and J., Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society. iEMSs 2004 - Complexity & Integrated Resources Management, Osnabruck, Germany, (927-932). 14-17 June, 2004.


Author Pullar, D. V.
Low Choy, S.
Rochester, W. A.
Title of paper Ecoregion classification using a bayesian approach and centre-focused clusters
Conference name iEMSs 2004 - Complexity & Integrated Resources Management
Conference location Osnabruck, Germany
Conference dates 14-17 June, 2004
Proceedings title Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society
Place of Publication Switzerland
Publisher International Environmental Modelling & Software Soc. (iEMSs)
Publication Year 2004
Sub-type Fully published paper
ISBN 88-900787-1-5
Editor Pahl-Wostl
C.; Schmidt
S.; Rizzoli
Andrea
Jakeman
J.
Volume 2
Start page 927
End page 932
Total pages 6
Collection year 2004
Abstract/Summary Ecological regions are increasingly used as a spatial unit for planning and environmental management. It is important to define these regions in a scientifically defensible way to justify any decisions made on the basis that they are representative of broad environmental assets. The paper describes a methodology and tool to identify cohesive bioregions. The methodology applies an elicitation process to obtain geographical descriptions for bioregions, each of these is transformed into a Normal density estimate on environmental variables within that region. This prior information is balanced with data classification of environmental datasets using a Bayesian statistical modelling approach to objectively map ecological regions. The method is called model-based clustering as it fits a Normal mixture model to the clusters associated with regions, and it addresses issues of uncertainty in environmental datasets due to overlapping clusters.
Subjects E1
270704 Landscape Ecology
770905 Integrated (ecosystem) assessment and management
Q-Index Code E1

 
Versions
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Thu, 23 Aug 2007, 20:15:27 EST