Date of Award

Fall 2008

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computational Modeling & Simulation Engineering

Program/Concentration

Modeling and Simulation

Committee Director

Andreas Tolk

Committee Member

David C. Earnest

Committee Member

Roland Mielke

Call Number for Print

Special Collections LD4331.E53 L45 2008

Abstract

New capabilities in agent based model (ABM) environments are opening the door to the creation of ABM that may incorporate high-quality, real world environment data in the form of Geospatial Information System (GIS) files . In the past, GJS environments were only possible through extensive software development efforts focused on specific model applications.

This thesis explores the value and issues of using GIS data to provide an ABM environment. It examines the ability of ABM development environments (DE) to support GIS environment data. The selected ABM DE is then used to model population behavior in an environment defined by authoritative GIS shapefiles. The empirical and statistical examination of the model shows the validity of this approach to modeling population-environment interaction.

The research in this thesis demonstrates the applicability of the GJS ABM paradigm to the examination of population interaction with its environment. It introduces the next steps in making GIS ABM more usable for the purpose of the study of population geography.

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DOI

10.25777/t9s5-w369

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