Bennett, Daniel, Cuss, R., Vardon, Philip James, Harrington, J. F., Philp, Roger  ORCID: https://orcid.org/0000-0003-3001-0341 and Thomas, Hywel Rhys ORCID: https://orcid.org/0000-0002-3951-0409
2012.
Data analysis toolkit for long-term, large-scale experiments.
Mineralogical Magazine
76
(8)
, pp. 3355-3364.
10.1180/minmag.2012.076.8.48
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Abstract
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.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Uncontrolled Keywords: | Lasgit, large-scale experiment, large dataset, non-uniform, time-series analysis |
| Additional Information: | Special issue on geological disposal Pdf uploaded in accordance with publisher's policies at http://www.sherpa.ac.uk/romeo/issn/0026-461X/ (accessed 2.7.15). |
| Publisher: | Mineralogical Society |
| ISSN: | 0026-461X |
| Date of First Compliant Deposit: | 30 March 2016 |
| Last Modified: | 19 Nov 2024 17:45 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/32058 |
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