A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models

نویسندگان

  • Xiongbing Jin
  • Kirsten Robinson
  • Allen Lee
  • J. Gareth Polhill
  • Calvin Pritchard
  • Dawn Cassandra Parker
چکیده

Since the agent-based models we design have stochastic elements and many potential parameter combinations, multiple model runs that sweep parameters are conducted, creating large quantities of computationally generated, hyper-dimensional, “big data”. Understanding the model’s implications required structured exploration of these complex output data. In response to this need, the MIRACLE team has developed a cloud-based community platform that presents prototype examples of output and analysis methods for agent-based models of coupled humannatural systems (ABM-CHANS). We anticipate that the platform will facilitate improved communication within research groups, as well as increasing access and transparency for external research communities. This paper provides contextual background and a tutorial introduction to the MIRACLE data storage and analysis web tool.

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عنوان ژورنال:
  • Environmental Modelling and Software

دوره 96  شماره 

صفحات  -

تاریخ انتشار 2017