|dc.identifier.citation||Stevenson, M. 2013. Geographic profiling in biology. Queen Mary University of London.||en_US
|dc.description.abstract||In Chapter one I introduce the subject of geographic profiling, its use in criminology
and its previous application to biology.
I go on in Chapter two to examine the original model and develop a likelihood-based
approach to fit the parameters to data from 53 UK invasive species. GP performs
well on this novel problem, and outperforms other simple spatial modelling
techniques. Using simulations I show that GP is particularly efficient at locating
sources when there is more than a single source.
Chapter three develops a Bayesian approach using Dirichlet Processes to account for
the problem of multiple sources. This model was developed in collaboration with
Robert Verity. This new Bayesian model outperforms the original model used in
criminology and offers a range of additional information from the data. The
Bayesian GP model is then used to determine the sources of malaria outbreaks in
Cairo. These developments significantly improve and extend the theory and
application of GP.
In Chapter four I discuss the possible shapes of dispersal functions. I conduct a
review of the literature and find a geometric mistake in the way linear distributions
have been extracted from two-dimensional data. The correct back-transformation
allows these dispersal distributions to be properly generated. Using this information;
ecologists, conservationists and resources managers can now apply GP to real world
problems and effectively allocate limited resources to locate sources of species
invasions and disease outbreaks.
I go on in Chapter five to develop a method for fitting the primary parameter sigma
from the point pattern data and run simulations to show the effectiveness of this new
In Chapter six I illustrate the application of GP to three problems, one in
criminology, one in ecology and one in epidemiology. I finish by summarising the
work in this thesis and discussing the potential future developments and applications
|dc.description.sponsorship||National Environment Research Council; Queen Mary University of London.||en_US
|dc.publisher||Queen Mary University of London||en_US
|dc.title||Geographic profiling in biology.||en_US
|dc.rights.holder||The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author||