The Challenges to Coupling Dynamic Geospatial Models

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Many applications of modeling spatial dynamic systems focus on a single system and a single process, ignoring the geographic and systemic context of the processes being modeled. A solution to this problem is the coupled modeling of spatial dynamic systems. Coupled modeling is challenging for both technical reasons, as well as conceptual reasons. This paper explores the benefits and challenges to coupling or linking spatial dynamic models, from loose coupling, where information transfer between models is done by hand, to tight coupling, where two (or more) models are merged as one. To illustrate the challenges, a coupled model of Urbanization ... continued below

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PDF-file: 17 pages; size: 0.3 Mbytes

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Goldstein, N June 23, 2006.

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Many applications of modeling spatial dynamic systems focus on a single system and a single process, ignoring the geographic and systemic context of the processes being modeled. A solution to this problem is the coupled modeling of spatial dynamic systems. Coupled modeling is challenging for both technical reasons, as well as conceptual reasons. This paper explores the benefits and challenges to coupling or linking spatial dynamic models, from loose coupling, where information transfer between models is done by hand, to tight coupling, where two (or more) models are merged as one. To illustrate the challenges, a coupled model of Urbanization and Wildfire Risk is presented. This model, called Vesta, was applied to the Santa Barbara, California region (using real geospatial data), where Urbanization and Wildfires occur and recur, respectively. The preliminary results of the model coupling illustrate that coupled modeling can lead to insight into the consequences of processes acting on their own.

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PDF-file: 17 pages; size: 0.3 Mbytes

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  • Journal Name: Geoscapes: A Journal of Geography and Geospatial Information and Collections, vol. 4, no. 2, June 1, 2008, pp. 240-250; Journal Volume: 4; Journal Issue: 2

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  • Report No.: UCRL-JRNL-222380
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 936666
  • Archival Resource Key: ark:/67531/metadc896439

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • June 23, 2006

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  • Sept. 27, 2016, 1:39 a.m.

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  • Nov. 22, 2016, 10:08 p.m.

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Goldstein, N. The Challenges to Coupling Dynamic Geospatial Models, article, June 23, 2006; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc896439/: accessed October 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.