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Title:A computational approach to understanding spatial and temporal granularities in agent-based modeling
Author(s):Shook, Eric
Director of Research:Wang, Shaowen
Doctoral Committee Chair(s):Wang, Shaowen
Doctoral Committee Member(s):Hannon, Bruce M.; Kale, Laxmikant V.; McLafferty, Sara L.
Department / Program:Geography & Geographic InfoSci
Discipline:Geography
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):agent-based model (abm)
spatial and temporal granularities
parallel abm
Abstract:Epidemic agent-based models simulate individuals in artificial societies capable of moving, interacting, and transmitting disease amongst themselves. Due to limitations in data and computation, epidemic models simulating tens of millions of individuals often coarsen the finest representations of space and time–termed spatial and temporal granularities in this thesis. This dissertation examines and overcomes a set of computational challenges to investigate a fundamental problem in spatially explicit epidemic agent-based modeling. This research demonstrates that coarsening spatial and temporal granularities influence both computational tractability and epidemic ABM processes. By focusing on the nexus of space, time, and process my dissertation improves understanding of the interrelationships and trade-offs between space and time as they relate to spatial processes using an epidemic modeling case study.
Issue Date:2013-08-22
URI:http://hdl.handle.net/2142/45637
Rights Information:Copyright 2013 by Eric A. Shook. Chapter 2 is published in the International Journal of Geographic Information Science. The publisher grants authors the right to include the article in a dissertation as listed here: http://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
Date Available in IDEALS:2013-08-22
2015-08-22
Date Deposited:2013-08


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