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

Shook, Eric

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

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

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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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