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Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker
Environmental Modelling & Software ( IF 4.9 ) Pub Date : 2020-07-24 , DOI: 10.1016/j.envsoft.2020.104797
Yu Li

Environmental decision support systems (EDSS) have drawn an increasing attention among scientists to tackle with the growing complexity of environmental problems and to support policy makers. Yet, many EDSS reported in literature are case specific, fragmented in development strategies and under-reporting server setup, thus impeding EDSS development and knowledge sharing among the scientific community. In this work we introduce an EDSS development framework mainly based on R language, which is popular among environmental scientists, and Docker related software to lower technical hurdles for deployment in a web-based context. Using two examples, we demonstrate that the framework is able to deliver a unified and cost effective solution for setting up prototypes of modern web-based EDSS without compromising usability. A public repository is created to promote access to more examples from literature, which users can adapt for their own studies.



中文翻译:

为使用R Shiny和Docker的环境科学家提供基于云的环境决策支持系统的快速原型制作

环境决策支持系统(EDSS)引起了科学家的越来越多的关注,以解决日益复杂的环境问题并为决策者提供支持。但是,文献中报道的许多EDSS都是针对特定情况的,在开发策略和报告服务器设置方面报告分散,因此阻碍了EDSS的发展和科学界之间的知识共享。在这项工作中,我们介绍了一个主要基于R语言的EDSS开发框架,该框架在环境科学家中很流行,它还提供了与Docker相关的软件,以降低在基于Web的环境中进行部署的技术障碍。通过两个示例,我们证明了该框架能够为建立现代基于Web的EDSS原型提供统一且经济高效的解决方案,而不会损害可用性。

更新日期:2020-08-10
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