Jonathan Corcoran

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Many of the challenges conservation professionals face can be framed as scale mismatches. The problem of scale mismatch occurs when the planning for and implementation of conservation actions is at a scale that does not reflect the scale of the conservation problem. The challenges in conservation planning related to scale mismatch include ecosystem or(More)
Existing drugs for Alzheimer's disease provide symptomatic benefit for up to 12 months, but there are no approved disease-modifying therapies. Given the recent failures of various novel disease-modifying therapies in clinical trials, a complementary strategy based on repositioning drugs that are approved for other indications could be attractive. Indeed, a(More)
Fires in urban areas can cause significant economic, physical and psychological damage. Despite this, there has been a comparative lack of research into the spatial and temporal analysis of fire incidence in urban contexts. In this paper, we redress this gap through an exploration of the association of fire incidence to weather, calendar events and(More)
National assault injury surveillance has identified major seasonal variation, but it is not clear whether assault injury is a seasonal problem in large cities. Relationships between community violence, calendar events and ambient conditions were investigated with reference to prospective, Accident and Emergency (A&E) derived information obtained from people(More)
The exchange algorithm for handling models with intractable partition functions is combined with new methods for adaptive rejection sampling in order to allow Markov chain Monte Carlo methods to sample from the posterior of a new class of exponential family models: exponential of even degree polynomials. It is demonstrated that these models have intuitive(More)
The application of GIS-based techniques to analyse incident data such as crime has received a relatively large amount of research interest, the analysis of disaggregate fire incident data, in comparison has been the focus of much less attention. This paper, for the first time applies a Bayesian methodology to generate disaggregate spatial forecasts of(More)