Keith, A.M.; Henrys, P.A.; Rowe, R.L.; McNamara, N.P.
Bootstrapped local regression (LOESS) for soil depth profile comparison
Cite this model code as:
Keith, A.M.; Henrys, P.A.; Rowe, R.L.; McNamara, N.P. (2015). Bootstrapped local regression (LOESS) for soil depth profile comparison. NERC Environmental Information Data Centre. https://doi.org/10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478
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Publication of this model code by the EIDC does not signify any endorsement or approval. By accessing and using the resource, you acknowledge that it is entirely at your own risk and you are solely responsible for any loss or liability that may arise
This model code is made available under the terms of the Open Government Licence
https://doi.org/10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478
This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare and test for significant differences in potentially non-linear depth profiles of soil properties across land use transitions, which does not need to meet any parametric distribution assumptions, and is intended to be generally applicable regardless of specific contexts of land use and soil type. A small dataset is provided with the code to demonstrate the BLR approach and its outputs. The code was written using the R statistical programming language and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).
Publication date: 2015-10-19
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
R model
Provenance & quality
The code was written using the R statistical programming language at CEH Lancaster, and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).
Licensing and constraints
This model code is made available under the terms of the Open Government Licence
Cite this model code as:
Keith, A.M.; Henrys, P.A.; Rowe, R.L.; McNamara, N.P. (2015). Bootstrapped local regression (LOESS) for soil depth profile comparison. NERC Environmental Information Data Centre. https://doi.org/10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478
© UK Centre for Ecology & Hydrology
Citations
Reinsch, S., Lebron, I., Brentegani, M. et al. Co-located ecological data for exploring top- and subsoil carbon dynamics across grassland-woodland contrasts. Sci Data 11, 478 (2024). https://doi.org/10.1038/s41597-024-03333-w
Correspondence/contact details
Dr. Aidan Keith
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
Authors
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