CyberGIS-Jupyter for spatially explicit agent-based modeling: A case study on influenza transmission

Jeon Young Kang, Jared Aldstadt, Alexander Michels, Rebecca Vandewalle, Shaowen Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Despite extensive efforts on achieving reproducible agent-based models (ABMs) to improve the capability of this widely adopted methodology, it remains challenging to reproduce and replicate pre-existing ABMs, due to a number of factors such as diverse computing resources and ABMs platforms. In this study, we propose to employ CyberGIS-Jupyter for spatially explicit ABMs. CyberGIS-Jupyter is a cyberGIS framework to achieve data-intensive, reproducible, and scalable geospatial analytics using Jupyter Notebook based on advanced cyberinfrastructure. Influenza transmission in the city of Miami, Florida, USA was used as a case study. In the model, Influenza is transmitted through the contact networks of individual human agents, which are constructed based on commuting behaviors. CyberGIS-Jupyter can support one not only to conduct collaborative and transparent modeling, but also to perform modeling simulation on advanced cyberinfrastructure resources. It may contribute to boosting the reproducibility and replicability of ABMs.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019
EditorsHamdi Kavak, Joon-Seok Kim, Sarah Wise
PublisherAssociation for Computing Machinery, Inc
Pages32-35
Number of pages4
ISBN (Electronic)9781450369565
DOIs
StatePublished - Nov 5 2019
Event2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019 - Chicago, United States
Duration: Nov 5 2019 → …

Publication series

NameProceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019

Conference

Conference2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019
CountryUnited States
CityChicago
Period11/5/19 → …

Keywords

  • Agent-Based Modeling
  • CyberGIS
  • Influenza
  • Replicability
  • Reproducibility

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Kang, J. Y., Aldstadt, J., Michels, A., Vandewalle, R., & Wang, S. (2019). CyberGIS-Jupyter for spatially explicit agent-based modeling: A case study on influenza transmission. In H. Kavak, J-S. Kim, & S. Wise (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019 (pp. 32-35). (Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3356470.3365531