- Dr Grant Hamilton
- Senior Lecturer in Ecology (Biosecurity)
Science and Engineering Faculty,
Earth, Environmental and Biological Sciences,
- Discipline *
- Ecological Applications, Environmental Science and Management, Agriculture, Land and Farm Management
- +61 7 3138 2318
- +61 7 3138 1535
- View location details (QUT staff and student access only)
- Identifiers and profiles
Doctor of Philosophy (Queensland University of Technology)
- Professional memberships
- Ecological Society of Australia
- Society for Risk Analysis (Australian Chapter)
- Society for Risk Analysis USA
Detection and Surveillance, agriculture, pests and diseases, crops, Spatial analytics, ecology, statistical modelling, Invasive Species, feral cats, foxes, wild dogs, goats, pigs, weeds, fungal pathogens, Panama disease, Unmanned Aerial Vehicles, RPAS, drones, UAVs and wildlife detection, UAVs and feral species, Thermal Imaging, high resolution imaging, artificial intelligence automated recognition of wildlife, Conservation Ecology, Conservation science, Ecological Analytics, Koalas, habitat, koala ecology, Agroecosystems, Pest and invasive species eradication
Research discipline: Bioscience
Research area: Invasive species and Pest Modelling and Management
Studying the distribution, ecology, sampling and management pests of agricultural concern.
Projects include: Improving the sampling strategies for detection of pests of bulk stored gain; determining driving factors for rodent damage in Northern Queensland macadamia orchards; assessing the use of community reported data to discover the environmental drivers of wild rabbit distributions
Wild rabbit disease dynamics – Spatially explicit modelling of wild rabbit (Oryctolagus cuniculus) populations and disease dynamics.
Exploring the dynamics of range expansions using novel quantitative tools. Range expansions are a fundamental process that invasive species undergo, however understanding , analysing and predicting range expansions across real landscapes presents enormous challenges. In this project, an Approximate Bayesian Computational approach is being used to analyse and predict the future expansions of a range of organisms including cane toads and Black Pine.
Areas of expertise:
- Pest Modelling and Management
- Risk analysis
- Biological Invasions
- Ecological Statistics
- Ecological modelling.
- 2007 – 2010: Rural Statistical Sustainability Framework. ARC Linkage
- 2007 – 2009: Rigorous comparison of Risk Analysis Systems from other countries. Australian Centre for Excellence in Risk Analysis / CRC for National Plant Biosecurity
- 2006 – 2007: Multidisciplinary risk in biological control QUT Internal
- 2006 – 2007: Greywater perceptions QUT Internal.
Selected research projects:
- Modelling spatial spread of invasive organisms
- Approximate Bayesian Computation
- Bayesian model averaging and decision analysis
- Predictive modelling of coastal algal blooms
- Bayesian Net modelling.
- Corcoran EM, Denman SP, Hanger J, Wilson B, Hamilton GS, (2019) Automated detection of koalas using low-level aerial surveillance and machine learning, Scientific Reports p1-9
- Pearse AR, Hamilton RJ, Choat J, Pita J, Almany G, Peterson N, Hamilton GS, Peterson EE, (2018) Giant coral reef fishes display markedly different susceptibility to night spearfishing, Ecology and Evolution p10247-10256
- Excoffier L, Hamilton GS, (2003) Comment On Genetic Structure Of Human Populations, Science p1877
- Hamilton GS, Stoneking M, Excoffier L, (2005) Molecular analysis reveals tighter social regulation of immigration in patrilocal populations than in matrilocal populations, National Academy of Sciences. Proceedings p7476-7480
- Baxter PW, Hamilton GS, (2018) Learning to fly: integrating spatial ecology with unmanned aerial vehicle surveys, Ecosphere p1-17
- Johnson S, Abal E, Ahern K, Hamilton GS, (2014) From science to management: Using Bayesian networks to learn about Lyngbya, Statistical Science p36-41
- Elmouttie D, Flinn P, Kiermeier A, Subramanyam B, Hagstrum D, Hamilton GS, (2013) Sampling stored-product insect pests: a comparison of four statistical sampling models for probability of pest detection, Pest Management Science p1073-1079
- Elmouttie D, Kiermeier A, Hamilton GS, (2010) Improving detection probabilities for pests in stored grain, Pest Management Science p1280-1286
- Hamilton GS, McVinish RS, Mengersen KL, (2009) Bayesian model averaging for harmful algal bloom prediction, Ecological Applications p1805-1814
- Rasmussen R, Hamilton G, (2012) An approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata, Environmental Modelling And Software p1-10
For more publications by this staff member, visit QUT ePrints, the University's research repository.
Grants and projects (Category 1: Australian Competitive Grants only)
- Growing Sustainable Regions: Developing a Rural Statistical Sustainability Framework
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- Start year
- Sustainable Regions; Rural Sustainability; Regional Growth; Spatial Decision Support Systems; Economic Development; Decision Making