MultiMOVE: A Package of niche models for British vegetation
[THIS APPLICATION HAS BEEN WITHDRAWN]. MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 2.10.1 and depends on R packages 'leaps', 'earth', 'fields' and 'mgcv'. Full details about this application can be found at
https://doi.org/10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2013-03-04
- Dataset Reference Date ()
- 2012-08-31
- Identifier
- doi: / 10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb
- Other citation details
- Henrys, P., Rowe, E.C., Evans, C.D., Emmett, B.A., Smart, S.M., Butler, A. (2013). MultiMOVE: A Package of niche models for British vegetation. NERC Environmental Information Data Centre 10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb
- Maintenance and update frequency
- unknown
- Maintenance note
- There will be updates, but these will be saved as separate packages with different version number. Dates of updates are unknown as this is ongoing work.
- GEMET - INSPIRE themes, version 1.0 ()
-
- Species Distribution
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Superseded
- Use constraints
- otherRestrictions
- Other constraints
- Licence conditions apply
- Use constraints
- otherRestrictions
- Other constraints
- Can only be used within the R Statistical Environment
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Henrys, P., Rowe, E.C., Evans, C.D., Emmett, B.A., Smart, S.M., Butler, A. (2013). MultiMOVE: A Package of niche models for British vegetation. NERC Environmental Information Data Centre https://doi.org/10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb
- Topic category
-
- Biota
- Environment
N
S
E
W
Distribution Information
- Data format
-
-
R Script
(
2.10.1
)
-
R Script
(
2.10.1
)
- Quality Scope
- application
- Other
- application
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999.
Metadata
- File identifier
- c4d0393e-ff0a-47da-84e0-09ca9182e6cb 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
- 2024-02-08T17:25:10
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/