Use this URL to cite or link to this record in EThOS:
Title: The application of tree-based methods to species distribution modelling
Author: Girardello, Marco
ISNI:       0000 0004 2669 5824
Awarding Body: University of Newcastle Upon Tyne
Current Institution: University of Newcastle upon Tyne
Date of Award: 2008
Availability of Full Text:
Access from EThOS:
Species distribution models are used increasingly in biogeography and conservation biology to predict how species are distributed and to understand attributes of species' environmental requirements. Whilst previous work has established that standard statistical approaches, such as General Linear Models anc General Additive Models, can be useful in modelling species' distribution classification trees are both more flexible and perform better in a range of scenarios and are thus being adopted as 'state-of-the-art'. In this thesis I investigate the relative performance of a range of four different classification tree modelling techniques namely CART, Bagging, Random Forests and Boosted Regression Trees.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available