State tagging application for environmental data quality assurance

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
These data are held and managed by the Environmental Information Data Centre, hosted at UKCEH.
For more details and to access the data, go to https://catalogue.ceh.ac.uk/id/1de712d3-081e-4b44-b880-b6a1ebf9fcd8
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.
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
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
Other contacts
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC Environmental Information Data Centreinfo@eidc.ac.uk
- Rights Holder
-
UK Centre for Ecology & Hydrologyenquiries@ceh.ac.uk
Additional metadata
- Topic categories
- Environment , Geoscientific Information
- Keywords
- cluster analysis, Data analytics, Data Labs, Data science, Environmental Change Network, Environmental informatics, Environmental Monitoring, Lakes Monitoring, Modelling, Quality assurance, R shiny, UK-SCAPE
- Funding
- Natural Environment Research Council Award: NE/R016429/1
- Last updated
- 18 May 2022 12:37