NERC Data Catalogue Service
Fuzzy changepoint application to evaluate numerical model ability to capture important shifts in environmental time series
This application is an implementation of a Fuzzy changepoint based approach to evaluate how well numerical models capture local scale temporal shifts in environmental time series. A changepoint in a time series represents a change in the statistical properties of the time series (either mean, variance or mean and variance in this case). These can often represent important local events of interest that numerical models should accurately capture. The application detects the locations of changepoints in two time series (typically one representing observations and one representing a model simulation) and estimates uncertainty on the changepoint locations using a bootstrap approach. The changepoint locations and associated confidence intervals are then converted to fuzzy numbers and fuzzy logic is used to evaluate how well the timing of any changepoints agree between the time series. The app returns individual similarity scores for each changepoint with higher scores representing a better performance of the numerical model at capturing local scale temporal changes seen in the observed record.
To use this application, the user will upload a csv file containing the two time series to be compared.
This work was supported by Engineering and Physical Sciences Research Council (EPSRC) Data Science for the Natural Environment (DSNE) project (EP/R01860X/1) and the Natural Environment Research Council (NERC) as part the UK-SCAPE programme (NE/R016429/1). Full details about this application can be found at https://doi.org/10.5285/49d04d55-90a7-4106-b8fe-2e75aba228e4
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2021-03-01
- Dataset Reference Date ()
- 2021-02-26
- Identifier
- doi: / 10.5285/49d04d55-90a7-4106-b8fe-2e75aba228e4
- Other citation details
- Hollaway, M.J. (2021). Fuzzy changepoint application to evaluate numerical model ability to capture important shifts in environmental time series. NERC Environmental Information Data Centre 10.5285/49d04d55-90a7-4106-b8fe-2e75aba228e4
- Keywords
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- Changepoints
- Fuzzy logic
- Data science
- Uncertainty
- Evaluation framework
- Data analytics
- UK Status, Change and Projections of the Environment
- UK-SCAPE
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Hollaway, M.J. (2021). Fuzzy changepoint application to evaluate numerical model ability to capture important shifts in environmental time series. NERC Environmental Information Data Centre https://doi.org/10.5285/49d04d55-90a7-4106-b8fe-2e75aba228e4
- Topic category
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- Environment
Distribution Information
- Data format
-
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R
()
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R
()
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- application
- Other
- application
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- This application comprises the source code of an R Shiny app (app.R) that implements the method described in https://doi.org/10.1016/j.envsoft.2021.104993. The application also provides access to the standalone functions used to execute the analysis (Fuzzy_CPT_functions.R). It can be run on any machine with R and the required packages installed. It has been tested up to R version 3.6.1 with more testing information and package dependencies found in Session_info.txt.
Metadata
- File identifier
- 49d04d55-90a7-4106-b8fe-2e75aba228e4 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
- 2023-02-09T11:09:54
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
