TUWHERA Open Research
AUT University
View Item 
  •   Open Research
  • Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer & Mathematical Sciences
  • View Item
  •   Open Research
  • Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer & Mathematical Sciences
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Self-organising map methods in integrated modelling of environmental and economic systems

Shanmuganathan, S; Sallis, P; Buckeridge, J
Thumbnail
View/Open
Self-organising map methods in integrated modelling of environmentla and econimic systems.pdf (449.5Kb)
Permanent link
http://hdl.handle.net/10292/1728
Metadata
Show full metadata
Abstract
The need for better techniques, tools and practices to analyse ecological and economic systems in an integrated framework has never been so great. Self-organising map 1 (SOM) methods are utilised for this purpose with two examples using regional and global data (ecological and economic) compiled by state and international institutions i.e. Waikato Regional Council and the World Bank. Sustainable ecosystem management through holistic or interdisciplinary approaches such the triple bottom line, 4Es (economics, ecology, ethics and engineering) concepts has been emphasised for a long time now. Many national and international institutions have been investigating for integrated, forward looking management practices i.e. integrated assessment management (IAM) by scientists and the pressure, state and response (PSR) model by the Organisation for Economic Cooperation and Development (OECD), World Resources Institute, the World Bank and Ministry for the Environment, New Zealand. Despite these efforts our understanding of ecosystem response to human influence is insufficient to carry out proper impact assessment on proposed developmental activities. Thus, in practice the implementation of sustainable environmental management seems remote. While the environmentalists and developers wrangle over the reliability of current environmental impact assessment practices and their results ecosystems continue to deteriorate, with commensurate biodiversity loss. The examples of this paper utilising SOMs to analyse disparate data sets at these different scales produce potential for future use: (i) regional, from river water quality monitoring to evaluate ecosystem response to human influence and (ii) global, for modelling environmental and economic data and trade-off analysis within an integrated framework to inform sustainable environmental management.
Keywords
Integrated modelling techniques; Ecological modelling; Self-organising maps; Ecological data
Date
2003
Source
MODSIM 2003, International Congress on Modelling and Simulation (Integrative Modelling of Biophysical, Social and Economic Systems for Resource Management Solutions), Townsville, Australia. 14-17 July 2003. Volume 3 pp 1066- 1071
Item Type
Conference Contribution
Publisher
AUT University; The Australian National University
Publisher's Version
http://mssanz.org.au/modsim03/Media/Articles/Vol%203%20Articles/1066-1071.pdf
Rights Statement
NOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version)

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library

 

 

Browse

Open ResearchTitlesAuthorsDateSchool of Engineering, Computer & Mathematical SciencesTitlesAuthorsDate

Alternative metrics

 

Statistics

For this itemFor all Open Research

Share

 
Follow @AUT_SC

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library