Integrated species modelling method
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This repository hosts functions to simulate structured and unstructured data and to run species distribution models on these to evaluate under which scenarios integrated perform better than individual dataset models. Three integrated models are tested - joint likelihood, informed prior and correlation following Pacifici et al (2017).
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
Correspondence/contact details
Henrys, P.
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
enquiries@ceh.ac.uk
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
Brown, M.
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
enquiries@ceh.ac.uk
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM