Keith, A.M.; Henrys, P.A.; Rowe, R.L.; McNamara, N.P.

Bootstrapped local regression (LOESS) for soil depth profile comparison

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 and 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

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Supporting documentation

Format of the model code : R model

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

You must cite: 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

 

© Centre for Ecology & Hydrology (Natural Environment Research Council)

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 and 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).

Correspondence/contact details

Dr. Aidan Keith
Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
United Kingdom
enquiries@ceh.ac.uk

Authors

Keith, A.M.
Centre for Ecology & Hydrology
Henrys, P.A.
Centre for Ecology & Hydrology
Rowe, R.L.
Centre for Ecology & Hydrology
McNamara, N.P.
Centre for Ecology & Hydrology

Other contacts

Custodian
Environmental Information Data Centre
eidc@ceh.ac.uk
Publisher
NERC Environmental Information Data Centre
eidc@ceh.ac.uk

Tags

Topic categories
Environment
Keywords
local regression,  loess,  model,  Modelling R code,  soil,  Soil