State tagging application for environmental data quality assurance

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. Full details about this application can be found at https://doi.org/10.5285/1de712d3-081e-4b44-b880-b6a1ebf9fcd8

Identification info

Metadata Language: English (en)

Character set: utf8

Dataset Reference Date (): 2020-04-22

Dataset Reference Date (): 2020-04-20

Identifier: https://catalogue.ceh.ac.uk/id/1de712d3-081e-4b44-b880-b6a1ebf9fcd8

Identifier: doi: / 10.5285/1de712d3-081e-4b44-b880-b6a1ebf9fcd8

Other citation details: Tso, C.-H.M. (2020). State tagging application for environmental data quality assurance. NERC Environmental Information Data Centre 10.5285/1de712d3-081e-4b44-b880-b6a1ebf9fcd8

UK Centre for Ecology & Hydrology - Dr. Chak Hau Michael Tso

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

UK Centre for Ecology & Hydrology

NERC EDS Environmental Information Data Centre

NERC Environmental Information Data Centre

Keywords

Modelling
cluster analysis
Environmental informatics
Environmental Monitoring
Data science
Quality assurance
Data analytics
R shiny
UK-SCAPE

Limitations on Public Access: otherRestrictions

Other constraints: no limitations

Use constraints: otherRestrictions

Other constraints: This resource is available under the terms of the Open Government Licence

Use constraints: otherRestrictions

Other constraints: If you reuse this data, you should cite: 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

Topic category

Environment
Geoscientific information

Distribution Information

Data format

R ()

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Quality Scope: application

Other: application

Report

Dataset Reference Date (): 2010-12-08

Statement: 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.

Metadata

File identifier: 1de712d3-081e-4b44-b880-b6a1ebf9fcd8 XML

Metadata Language: English (en)

Character set: ISO/IEC 8859-1 (also known as Latin 1)

Resource type: application

Hierarchy level name: application

Metadata Date: 2023-02-09T11:09:43

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Environmental Information Data Centre

Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK

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