Paper Info
Title
A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models.
Abstract
Agent-based models typically have stochastic elements and many potential parameter combinations. This requires that we conduct multiple model runs to sweep the parameter space, creating large quantities of computationally generated, hyper-dimensional, “big data”. Understanding the models’ implications requires structured exploration of these complex output data. In response to this need, the MIRACLE team has developed a prototype web application that enables researchers who archive their model output data and analysis methods to perform online output data exploration and reproducible, re-parameterizable data analysis. We plan to build on this prototype, integrating with broader reproducibility initiatives in scientific computation and big data, to facilitate improved communication within research groups, and increase access and transparency for external research community and the general public. This paper provides contextual background and a case study of the prototype MIRACLE data storage and analysis web tool.
Year
DOI
Venue
2017
10.1016/j.envsoft.2017.06.010
Environmental Modelling & Software
Keywords
Field
DocType
Reproducibility,Agent-based models,Big data
Data mining,Transparency (graphic),Data exploration,Computer data storage,Visualization,Computer science,Web application,Big data,Cloud computing
Journal
Volume
ISSN
Citations 
96
1364-8152
1
PageRank 
References 
Authors
0.35
10
6
Name
Order
Citations
PageRank
Xiongbing Jin110.35
Kirsten Robinson250.79
Allen Lee311.03
J. Gary Polhill49313.08
Calvin Pritchard510.35
Dawn C. Parker6161.93