FEWSim:一种可视分析框架,用于探索食品-能源-水模拟的联系
IEEE computer graphics and applications
|June 19, 2025
概括
本研究介绍了FEWSim,这是一个用于探索食物,能源和水 (FEW) 联系相互作用的视觉分析框架. FEWSim帮助专家分析复杂的模拟数据,以了解系统的优势和弱点.
科学领域:
- 环境科学 环境科学
- 系统工程 系统工程
- 数据科学数据科学数据科学
背景情况:
- 粮食,能源和水 (FEW) 系统表现出复杂的相互依赖,创造出具有显著优势和弱点的联系.
- 由于难以观察关键变量,因此难以进行跨部门分析,因此分析这些少数联系相互作用具有挑战性.
- 现有的方法缺乏有效的工具来探索和解释来自合少数模型的模拟数据.
研究的目的:
- 介绍FEWSim,这是一个视觉分析框架,旨在支持领域专家探索和解释合FEW模型的模拟结果.
- 通过克服数据观测方面的挑战,使少数联系相互作用能够进行强有力的跨部门分析.
- 为了促进在FEW nexus中对场景绩效和可持续性的评估.
主要方法:
- 开发了三层异步架构:用于 FEW 模拟的模型层,用于场景管理的中间件层和用于交互式探索的可视化层.
- 综合食品,能源和水的模型来模拟FEW连接.
- 实施了交互式可视化,用于跨少数行业的时间序列结果和使用可持续性指数的场景比较.
主要成果:
- FEWSim为领域专家提供了一个框架,以探索和解释来自合的FEW模型的复杂模拟结果.
- 可视化层使时间序列数据的交互探索和在多个场景中进行比较.
- 可持续性指数被用来评估业绩的场景差异,证明了框架的实用性.
结论:
- FEWSim有效地支持领域专家分析FEW连接相互作用和模拟结果.
- 视觉分析框架增强了对系统优势,漏洞和场景影响的理解.
- 亚利桑那州城AMA的案例研究验证了FEWSim在FEW连接研究中的实际应用和实用性.
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