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Title: The Challenges to Coupling Dynamic Geospatial Models

Abstract

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.

Authors:
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
936666
Report Number(s):
UCRL-JRNL-222380
TRN: US200818%%890
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Journal Article
Resource Relation:
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
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 99 GENERAL AND MISCELLANEOUS; 54 ENVIRONMENTAL SCIENCES; MATHEMATICAL MODELS; URBAN AREAS; NATURE RESERVES; FIRES; RISK ASSESSMENT; V CODES; DYNAMICS

Citation Formats

Goldstein, N. The Challenges to Coupling Dynamic Geospatial Models. United States: N. p., 2006. Web.
Goldstein, N. The Challenges to Coupling Dynamic Geospatial Models. United States.
Goldstein, N. Fri . "The Challenges to Coupling Dynamic Geospatial Models". United States. https://www.osti.gov/servlets/purl/936666.
@article{osti_936666,
title = {The Challenges to Coupling Dynamic Geospatial Models},
author = {Goldstein, N},
abstractNote = {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.},
doi = {},
journal = {Geoscapes: A Journal of Geography and Geospatial Information and Collections, vol. 4, no. 2, June 1, 2008, pp. 240-250},
number = 2,
volume = 4,
place = {United States},
year = {Fri Jun 23 00:00:00 EDT 2006},
month = {Fri Jun 23 00:00:00 EDT 2006}
}