Bootstrapped local regression (LOESS) for soil depth profile comparison
bibliographic citation: 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
description: 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).
provenance: ProvenanceStatement
  label: 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).
publisher: NERC Environmental Information Data Centre
is referenced by: s41597-024-03333-w
subject: Soil
subject: Modelling
subject: loess
subject: soil
subject: model
subject: R code
subject: local regression
type: Software
license: OGL-UK-3.0.ttl
rights: RightsStatement
  copyright notice: copyright UK Centre for Ecology & Hydrology
access rights: UNRS
creator: Keith, A.M.
creator: Henrys, P.A.
creator: Rowe, R.L.
creator: McNamara, N.P.
language: en

Keith, A.
type: Person
family name: Keith
given name: Aidan
member: UK Centre for Ecology & Hydrology

NERC Environmental Information Data Centre
type: Organization

Keith, A.M.
type: Person
family name: Keith
given name: A.M.
member: UK Centre for Ecology & Hydrology

Henrys, P.A.
type: Person
family name: Henrys
given name: P.A.
member: UK Centre for Ecology & Hydrology

Rowe, R.L.
type: Person
family name: Rowe
given name: R.L.
member: UK Centre for Ecology & Hydrology

McNamara, N.P.
type: Person
family name: McNamara
given name: N.P.
member: UK Centre for Ecology & Hydrology

s41597-024-03333-w
type: Expression
bibliographic citation: 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).

Soil
type: Concept

Modelling
type: Concept

UK Centre for Ecology & Hydrology
type: Organization