FEWSim: A Visual Analytic Framework for Exploring the Nexus of Food-Energy-Water Simulations
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912435510706176 |
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| author | Lei, Fan Sampson, David A. Hong, Jiayi Ma, Yuxin Mascaro, Giuseppe White, Dave Agarwal, Rimjhim Maciejewski, Ross |
| author_facet | Lei, Fan Sampson, David A. Hong, Jiayi Ma, Yuxin Mascaro, Giuseppe White, Dave Agarwal, Rimjhim Maciejewski, Ross |
| contents | The interdependencies of food, energy, and water (FEW) systems create a nexus opportunity to explore the strengths and vulnerabilities of individual and cross-sector interactions within FEW systems. However, the variables quantifying nexus interactions are hard to observe, which hinders the cross-sector analysis. To overcome such challenges, we present FEWSim, a visual analytics framework designed to support domain experts in exploring and interpreting simulation results from a coupled FEW model. FEWSim employs a three-layer asynchronous architecture: the model layer integrates food, energy, and water models to simulate the FEW nexus; the middleware layer manages scenario configuration and execution; and the visualization layer provides interactive visual exploration of simulated time-series results across FEW sectors. The visualization layer further facilitates the exploration across multiple scenarios and evaluates scenario differences in performance using sustainability indices of the FEW nexus. We demonstrate the utility of FEWSim through a case study for the Phoenix Active Management Area (AMA) in Arizona. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_14056 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | FEWSim: A Visual Analytic Framework for Exploring the Nexus of Food-Energy-Water Simulations Lei, Fan Sampson, David A. Hong, Jiayi Ma, Yuxin Mascaro, Giuseppe White, Dave Agarwal, Rimjhim Maciejewski, Ross Human-Computer Interaction The interdependencies of food, energy, and water (FEW) systems create a nexus opportunity to explore the strengths and vulnerabilities of individual and cross-sector interactions within FEW systems. However, the variables quantifying nexus interactions are hard to observe, which hinders the cross-sector analysis. To overcome such challenges, we present FEWSim, a visual analytics framework designed to support domain experts in exploring and interpreting simulation results from a coupled FEW model. FEWSim employs a three-layer asynchronous architecture: the model layer integrates food, energy, and water models to simulate the FEW nexus; the middleware layer manages scenario configuration and execution; and the visualization layer provides interactive visual exploration of simulated time-series results across FEW sectors. The visualization layer further facilitates the exploration across multiple scenarios and evaluates scenario differences in performance using sustainability indices of the FEW nexus. We demonstrate the utility of FEWSim through a case study for the Phoenix Active Management Area (AMA) in Arizona. |
| title | FEWSim: A Visual Analytic Framework for Exploring the Nexus of Food-Energy-Water Simulations |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2506.14056 |