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Composition of Geographic-Based Component Simulation Models

Abstract Component simulation models, such as agent-based models, may depend on spatial data associated with geographic locations. Composition of such models can be achieved using a Geographic Knowledge Interchange Broker (GeoKIB) enabled with spatial-temporal data transformation functions, each of which is responsible for a set of interactions between two independent models. The use of autonomous interaction models allows model composition without alteration of the composed component models. An interaction model must handle differences in the spatial resolutions between models, in addition to differences in their temporal input/output data types and resolutions.

A generalized GeoKIB was designed that regulates unidirectional spatially-based intera... (more)
Created Date 2019
Contributor Boyd, William Angelo (Author) / Sarjoughian, Hessam S (Advisor) / Maciejewski, Ross (Committee member) / Sarwat, Mohamed (Committee member) / Arizona State University (Publisher)
Subject Computer science / composition / GIS / knowledge interchange broker / modeling / simulation / software design
Type Masters Thesis
Extent 84 pages
Language English
Note Masters Thesis Computer Science 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis