BGS Hosted Metadata
Multi-tier archetypes to characterise British landscapes, farmland and farming practices
This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which cannot be readily influenced by the actions of land managers; Tier 2 archetypes capture more nuanced variations within farmland-dominated landscapes of Great Britain, over which land managers may have some degree of influence. Tier 3 archetypes are built at national levels for England and Wales and focus on socioeconomic and agro-ecological characteristics within farmland-dominated landscapes, characterising differences in farm management. The unavailability of several input variables for agricultural management prevented the generation of Tier 3 archetypes for Scotland. The archetypes were derived by data-driven machine learning. The three tiers of archetypes were analysed separately and not as a nested structure (i.e. a single Tier 3 archetype can occur in more than one Tier 2 archetype), predominantly to ensure that archetype definitions were easily interpreted across tiers. Full details about this dataset can be found at https://doi.org/10.5285/3b44375a-cbe6-468c-9395-41471054d0f3
Simple
- Date (Publication)
- 2022-07-11
- Citation identifier
- https://catalogue.ceh.ac.uk/id/3b44375a-cbe6-468c-9395-41471054d0f3
- Citation identifier
- doi: / 10.5285/3b44375a-cbe6-468c-9395-41471054d0f3
- Other citation details
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Goodwin, C.E.D., Bütikofer, L., Hatfield, J.H., Richter, G.M., Redhead, J.W. (2022). Multi-tier archetypes to characterise British landscapes, farmland and farming practices. NERC EDS Environmental Information Data Centre 10.5285/3b44375a-cbe6-468c-9395-41471054d0f3
- Point of contact
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Organisation name Individual name Electronic mail address Role UK Centre for Ecology & Hydrology Goodwin, C. Point of contact UK Centre for Ecology & Hydrology Goodwin, C.E.D. Author Rothamsted Research Bütikofer, L. Author University of York Hatfield, J.H. Author Rothamsted Research Richter, G.M. Author UK Centre for Ecology & Hydrology Redhead, J.W. Author NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher UK Centre for Ecology & Hydrology Owner Rothamsted Research EMAIL NOT PROVIDED
Owner
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GEMET - INSPIRE themes, version 1.0
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Agricultural and Aquaculture Facilities
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- Keywords
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AgLand
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Archetypes
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Land systems
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Great Britain
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Farming
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: Goodwin, C.E.D., Bütikofer, L., Hatfield, J.H., Richter, G.M., Redhead, J.W. (2022). Multi-tier archetypes to characterise British landscapes, farmland and farming practices. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/3b44375a-cbe6-468c-9395-41471054d0f3
- Spatial representation type
- Grid
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Farming
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version TIFF
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://catalogue.ceh.ac.uk/datastore/eidchub/3b44375a-cbe6-468c-9395-41471054d0f3 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/3b44375a-cbe6-468c-9395-41471054d0f3.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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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
- Date (Publication)
- 2010-12-08
- Statement
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Archetype data were generated from various spatial socioeconomic and bio-physical layers. These data were analysed using Self-Organising Maps (SOMs), which reduce the dimensions and cluster the data into similar groupings. This creates a pre-set number of Land System Archetypes, each associated with a group of representative 1km cells, at each tier. SOMs were run iteratively 1000 times to gain a measure of the consistency of the production of each set of Archetypes. Data are provided with a measure (Euclidean distance) of the accuracy of the assignment of archetypes for each 1km cell. Sensitivity analyses were conducted to test the inclusion of different data.
Metadata
- File identifier
- 3b44375a-cbe6-468c-9395-41471054d0f3 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-11-13T16:17:10
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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