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Tso, C.-H.M.

State tagging application for environmental data quality assurance

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https://doi.org/10.5285/1de712d3-081e-4b44-b880-b6a1ebf9fcd8
Screenshot This R application is an implementation of state tagging approach for improved quality assurance of environmental data. The application returns state-dependent prediction intervals on input data. The states are determined based on clustering of auxiliary inputs (such as meteorological data) made on the same day. The method provides contextual information to assess the quality of observational data and is applicable to any point-based, daily time series observational data.

To use this application, the user will need to input two separate csv files: one for state variables and the other for observations.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
Publication date: 2020-04-22
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Format

R

Provenance & quality

This application comprises the source code of a R shiny app (app.R) that implements the method described in https://doi.org/10.3389/fenvs.2020.00046. It can be run on any machine with R and the required packages installed. The clustering is based on the k means function in the {stats} package in R. It has been tested up to R version 3.5.3. More testing info can be found in session_info.txt.

Licensing and constraints

This model code is available under the terms of the Open Government Licence

Cite this model code as:
Tso, C.-H.M. (2020). State tagging application for environmental data quality assurance. NERC Environmental Information Data Centre. https://doi.org/10.5285/1de712d3-081e-4b44-b880-b6a1ebf9fcd8

Citations

Tso, C-H. M.; Henrys, P; Rennie, S.;, Watkins, J. (2020). State tagging for improved earth and environmental data quality assurance. Front. Environ. Sci. https://doi.org/10.3389/fenvs.2020.00046
Tso, M., Henrys, P., Rennie, S., & Watkins, J. (2020). State tagging for improved earth and environmental data quality assurance. https://doi.org/10.5194/egusphere-egu2020-4613

Correspondence/contact details

Dr. Chak Hau Michael Tso
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
 enquiries@ceh.ac.uk

Author

Tso, C.-H.M.
UK Centre for Ecology & Hydrology

Other contacts

Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
environment
geoscientificInformation
Keywords
cluster analysis , Data analytics , Data science , Environmental informatics , Environmental Monitoring , Modelling , Quality assurance , R shiny , UK-SCAPE
Funding
Natural Environment Research Council Award: NE/R016429/1
Last updated
08 February 2024 17:24