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Data analysis toolkit for long-term, large-scale experiments

Published online by Cambridge University Press:  05 July 2018

D. P. Bennett ,
R. J. Cuss ,
P. J. Vardon ,
J. F. Harrington ,
R. N. Philp  and
H. R. Thomas
D. P. Bennett*
Affiliation:
Geoenvironmental Research Centre, Cardiff School of Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff CF24 3AA, UK
R. J. Cuss
Affiliation:
British Geological Survey, Keyworth, Nottingham NG12 5GG, UK
P. J. Vardon
Affiliation:
Geoenvironmental Research Centre, Cardiff School of Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff CF24 3AA, UK Geo-Engineering Section, Department of Geoscience and Engineering, Delft University of Technology, PO Box 5048, 2600 GA Delft, The Netherlands
J. F. Harrington
Affiliation:
British Geological Survey, Keyworth, Nottingham NG12 5GG, UK
R. N. Philp
Affiliation:
Geoenvironmental Research Centre, Cardiff School of Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff CF24 3AA, UK
H. R. Thomas
Affiliation:
Geoenvironmental Research Centre, Cardiff School of Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff CF24 3AA, UK
*
*E-mail: bennettdp@cardiff.ac.uk
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Abstract

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A new data analysis toolkit which is suitable for the analysis of large-scale, long-term datasets and the phenomenon/anomalies they represent is described. The toolkit aims to expose and quantify scientific information in a number of forms contained within a time-series based dataset in a quantitative and rigorous manner, reducing the subjectivity of observations made, thereby supporting the scientific observer. The features contained within the toolkit include the ability to handle non-uniform datasets, time-series component determination, frequency component determination, feature/event detection and characterization/parameterization of local behaviours. An application is presented of a case study dataset arising from the 'Lasgit' experiment.

Keywords

lasgitlarge-scale experimentlarge datasetnon-uniformtime-series analysis

Information

Type
Research Article
Information
Mineralogical Magazine , Volume 76 , Issue 8 , December 2012 , pp. 3355 - 3364
Creative Commons
Creative Common License - CCCreative Common License - BY
© [2012] The Mineralogical Society of Great Britain and Ireland. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Mineralogical Society of Great Britain and Ireland 2012

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