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 & 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). Full details about this application can be found at https://doi.org/10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478

Identification info

Metadata Language: English (en)

Character set: utf8

Dataset Reference Date (): 2015-10-19

Identifier: https://catalogue.ceh.ac.uk/id/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478

Identifier: doi: / 10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478

Other citation details: 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 10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478

UK Centre for Ecology & Hydrology - Dr. Aidan Keith

Centre for Ecology & Hydrology - Keith, A.M.

Centre for Ecology & Hydrology - Henrys, P.A.

Centre for Ecology & Hydrology - Rowe, R.L.

Centre for Ecology & Hydrology - McNamara, N.P.

NERC Environmental Information Data Centre

NERC EDS Environmental Information Data Centre

UK Centre for Ecology & Hydrology

Maintenance and update frequency: notPlanned

Keywords

Soil
Modelling
loess
soil
model
R code
local regression

Limitations on Public Access: otherRestrictions

Other constraints: no limitations

Use constraints: otherRestrictions

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

Use constraints: otherRestrictions

Other constraints: © UK Centre for Ecology & Hydrology

Use constraints: otherRestrictions

Other constraints: If you reuse this data, you should 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

Topic category

Environment

Distribution Information

Data format

R model ()

Resource Locator: Download the data
Download a copy of this data

Resource Locator: Supporting information
Supporting information available to assist in re-use of this dataset

Resource Locator: Download the data
Download a copy of this data

Resource Locator: 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: 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).

Metadata

File identifier: d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478 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: 2022-05-20T10:54:10

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

Environmental Information Data Centre

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

Overviews

Publishing Body

Access the portal

Full access to the portal and metadata.

Associated resources (if any)

Not available

Default