Journal | Environmental Monitoring and Assessment |
Publisher | Springer Netherlands |
ISSN | 0167-6369 (Print) 1573-2959 (Online) |
Issue | Volume 34, Number 2 / January, 1995 |
DOI | 10.1007/BF00546036 |
Pages | 203-214 |
Subject Collection | Earth and Environmental Science |
SpringerLink Date | Tuesday, December 07, 2004 |
Guy Engelen1, Roger White2, Inge Uljee1 and Paul Drazan1
(1) | RIKS Research Institute for Knowledge Systems, P.O. Box 463, 6200 AL Maastricht, The Netherlands |
(2) | Memorial University of Newfoundland, A1B 3X9 St. John's, NF, Canada |
Abstract Cellular automata provide the key to a dynamic modelling and simulation framework that integrates socio-economic with environmental models, and that operates at both micro and macro geographical scales.
An application to the problem of forecasting the effect of climate change on a small island state suggests that such modelling techniques could help planners and policy makers design more effective policies — policies better tuned both to specific local needs and to overall socio-economic and environmental constraints.
An application to the problem of forecasting the effect of climate change on a small island state suggests that such modelling techniques could help planners and policy makers design more effective policies — policies better tuned both to specific local needs and to overall socio-economic and environmental constraints.
Paper presented at the Workshop on GIS Applications in Coastal Zone Management Of Small Island States, Barbados, April 20–22, 1994. RIKS publication 905000/94100, April 1994.
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