University of Illinois Urbana-Champaign

A computational approach to understanding spatial and temporal granularities in agent-based modeling

Shook, Eric

Content Files
Eric_Shook.pdf

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https://hdl.handle.net/2142/45637

Description

Title
A computational approach to understanding spatial and temporal granularities in agent-based modeling
Author(s)
Shook, Eric
Issue Date
2013-08-22T16:56:15Z
Director of Research (if dissertation) or Advisor (if thesis)
Wang, Shaowen
Doctoral Committee Chair(s)
Wang, Shaowen
Committee Member(s)
  • Hannon, Bruce M.
  • Kale, Laxmikant V.
  • McLafferty, Sara L.
Department of Study
Geography & Geographic InfoSci
Discipline
Geography
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2013-08-22T16:56:15Z
Keyword(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.
Graduation Semester
2013-08
Permalink
http://hdl.handle.net/2142/45637
Copyright and License 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

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