d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478
English
ISO/IEC 8859-1 (also known as Latin 1)
application
application
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-02-08T17:24:27
UK GEMINI
2.3
Bootstrapped local regression (LOESS) for soil depth profile comparison
2015-10-19
publication
https://catalogue.ceh.ac.uk/id/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478
10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478
doi:
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
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
Dr. Aidan Keith
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
pointOfContact
Keith, A.M.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-9619-1320
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Henrys, P.A.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0003-4758-1482
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Rowe, R.L.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-7554-821X
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
McNamara, N.P.
Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-5143-5819
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
UK Centre for Ecology & Hydrology
enquiries@ceh.ac.uk
owner
notPlanned
otherRestrictions
no limitations
otherRestrictions
This resource is made available under the terms of the Open Government Licence
otherRestrictions
© UK Centre for Ecology & Hydrology
otherRestrictions
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
English
utf8
environment
R model
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/data/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478
Download the data
Download a copy of this data
download
https://data-package.ceh.ac.uk/sd/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
application
application
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
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).