Abstract
Human mobility insights guide domain experts in an array of decisions, including critical infrastructure design, disaster response, epidemic modeling, national security, and policy making. Due to the inherent noise and privacy concerns in real-world individual-level mobility data, it is often preferred to leverage simulators that generate synthetic mobility data instead. However, it is critical to inspect and validate the output of such simulators to ensure the synthetic data is aligned with the characteristics of the population and the area of interest known to domain experts. While there exist many quantitative approaches for validating synthetic data, we argue it is also important to also validate such data qualitatively to capture aspects that are known to domain experts but difficult to quantify. In this work, we demonstrate a visual analytic platform that empowers domain experts to interact with their simulation outputs along spatial and temporal dimensions. By augmenting automated techniques and human skills, our visual analytic platform is a step towards interactive capabilities for model steering and quality control of mobility simulators.
Original language | English |
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Title of host publication | GEOSIM 2024 - Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation |
Editors | Joon-Seok Kim, Taylor Anderson, Ashwin Shashidharan, Andreas Zufle |
Publisher | Association for Computing Machinery, Inc |
Pages | 1-10 |
Number of pages | 10 |
ISBN (Electronic) | 9798400711497 |
DOIs | |
State | Published - Oct 29 2024 |
Event | 7th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GEOSIM 2024 - Atlanta, United States Duration: Oct 29 2024 → … |
Publication series
Name | GEOSIM 2024 - Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation |
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Conference
Conference | 7th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GEOSIM 2024 |
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Country/Territory | United States |
City | Atlanta |
Period | 10/29/24 → … |
Funding
This work is supported by the Intelligence Advanced Research Projects Activity (IARPA). Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://www.energy.gov/doe-public-access-plan). The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DOE, or the U.S. Government.
Keywords
- mobility
- simulation
- UI/UX
- validation
- visual analytics