Modeling structural change in spatial system dynamics: A Daisyworld example.
Identifieur interne : 000100 ( PubMed/Curation ); précédent : 000099; suivant : 000101Modeling structural change in spatial system dynamics: A Daisyworld example.
Auteurs : C. Neuwirth [Allemagne] ; A. Peck [Canada] ; S P Simonovi [Canada]Source :
- Environmental modelling & software : with environment data news [ 1364-8152 ] ; 2015.
Abstract
System dynamics (SD) is an effective approach for helping reveal the temporal behavior of complex systems. Although there have been recent developments in expanding SD to include systems' spatial dependencies, most applications have been restricted to the simulation of diffusion processes; this is especially true for models on structural change (e.g. LULC modeling). To address this shortcoming, a Python program is proposed to tightly couple SD software to a Geographic Information System (GIS). The approach provides the required capacities for handling bidirectional and synchronized interactions of operations between SD and GIS. In order to illustrate the concept and the techniques proposed for simulating structural changes, a fictitious environment called Daisyworld has been recreated in a spatial system dynamics (SSD) environment. The comparison of spatial and non-spatial simulations emphasizes the importance of considering spatio-temporal feedbacks. Finally, practical applications of structural change models in agriculture and disaster management are proposed.
DOI: 10.1016/j.envsoft.2014.11.026
PubMed: 26109906
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Neuwirth</name><affiliation wicri:level="1"><nlm:affiliation>Doctoral College GIScience, University of Salzburg, Salzburg, Austria ; Department of Geography, University of Munich (LMU), Munich, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Doctoral College GIScience, University of Salzburg, Salzburg, Austria ; Department of Geography, University of Munich (LMU), Munich</wicri:regionArea></affiliation></author><author><name sortKey="Peck, A" sort="Peck, A" uniqKey="Peck A" first="A" last="Peck">A. Peck</name><affiliation wicri:level="1"><nlm:affiliation>Department of Civil and Environmental Engineering, University of Western Ontario, London, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Civil and Environmental Engineering, University of Western Ontario, London</wicri:regionArea></affiliation></author><author><name sortKey="Simonovi, S P" sort="Simonovi, S P" uniqKey="Simonovi S" first="S P" last="Simonovi">S P Simonovi</name><affiliation wicri:level="1"><nlm:affiliation>Department of Civil and Environmental Engineering, University of Western Ontario, London, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Civil and Environmental Engineering, University of Western Ontario, London</wicri:regionArea></affiliation></author></analytic><series><title level="j">Environmental modelling & software : with environment data news</title><idno type="ISSN">1364-8152</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">System dynamics (SD) is an effective approach for helping reveal the temporal behavior of complex systems. 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Finally, practical applications of structural change models in agriculture and disaster management are proposed.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">26109906</PMID><DateCreated><Year>2015</Year><Month>06</Month><Day>25</Day></DateCreated><DateRevised><Year>2015</Year><Month>06</Month><Day>28</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1364-8152</ISSN><JournalIssue CitedMedium="Print"><Volume>65</Volume><PubDate><Year>2015</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Environmental modelling & software : with environment data news</Title><ISOAbbreviation>Environ Model Softw</ISOAbbreviation></Journal><ArticleTitle>Modeling structural change in spatial system dynamics: A Daisyworld example.</ArticleTitle><Pagination><MedlinePgn>30-40</MedlinePgn></Pagination><Abstract><AbstractText NlmCategory="UNASSIGNED">System dynamics (SD) is an effective approach for helping reveal the temporal behavior of complex systems. Although there have been recent developments in expanding SD to include systems' spatial dependencies, most applications have been restricted to the simulation of diffusion processes; this is especially true for models on structural change (e.g. LULC modeling). To address this shortcoming, a Python program is proposed to tightly couple SD software to a Geographic Information System (GIS). The approach provides the required capacities for handling bidirectional and synchronized interactions of operations between SD and GIS. In order to illustrate the concept and the techniques proposed for simulating structural changes, a fictitious environment called Daisyworld has been recreated in a spatial system dynamics (SSD) environment. The comparison of spatial and non-spatial simulations emphasizes the importance of considering spatio-temporal feedbacks. 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