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Modular and Spatially Explicit: A Novel Approach to System Dynamics.

Patrick Wingo1, Allen Brookes1, John Bolte2

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The Open Modeling Environment (OME) is a new open-source System Dynamics simulation engine. It supports modular implementation and spatial data integration for various modeling needs.

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Area of Science:

  • Environmental modeling
  • Computational science

Background:

  • System Dynamics (SD) modeling is crucial for complex systems analysis.
  • Existing SD tools often lack modularity and standardized spatial data interfaces.

Purpose of the Study:

  • Introduce the Open Modeling Environment (OME), an open-source SD simulation engine.
  • Highlight OME's modular design and standardized spatial data handling capabilities.
  • Demonstrate OME's flexibility in integrating with existing simulation frameworks and importing diverse model formats.

Main Methods:

  • Developed OME as a joint project between Oregon State University and the US Environmental Protection Agency.
  • Implemented a modular architecture for OME.
  • Created a standardized interface for spatially explicit data.
  • Ensured compatibility with standard SD model components.
  • Enabled OME to import models from Simile, Vensim, and XMILE formats.

Main Results:

  • OME is an open-source, modular System Dynamics simulation engine.
  • It offers a standardized interface for spatially explicit data.
  • OME supports various SD model components and can import multiple SD model formats.
  • It can function as a standalone tool or a plugin for larger simulation frameworks.

Conclusions:

  • OME provides a flexible and interoperable platform for System Dynamics modeling.
  • Its modularity and data handling capabilities enhance its utility for environmental and complex systems research.
  • OME is under active development with planned future improvements.