Froese, J. G., Smith, C. S., Durr, P. A., McAlpine, C. A., & van Klinken, R. D. (2017). Modelling seasonal habitat suitability for wide-ranging species: Invasive wild pigs in northern Australia. PLOS ONE, 12(5): e0177018. doi:10.1371/journal.pone.0177018


Kerr, N. Z., Baxter, P. W., Salguero‐Gómez, R., Wardle, G. M., & Buckley, Y. M. (2016). Prioritizing management actions for invasive populations using cost, efficacy, demography and expert opinion for 14 plant species world‐wide. Journal of applied ecology53(2), 305-316. doi:10.1111/1365-2664.12592


Baxter, P. W. J., Parnell, S., & Hamilton, G. (2015, December). Quarantine and surveillance strategies for plant pathogen detection and control. Paper presented at 21st International Congress on Modelling and Simulation, Gold Coast, Australia. Retrieved from

Baxter, P. W. J., & Hamilton, G. (2015, December). Fine-tuning of unmanned aerial surveillance for ecological systems. Paper presented at 21st International Congress on Modelling and Simulation, Gold Coast, Australia. Retrieved from

Puig, E., Gonzalez, F., Hamilton, G., & Grundy, P. (2015, December). Assessment of crop insect damage using unmanned aerial systems: A machine learning approach. Paper presented at 21st International Congress on Modelling and Simulation, Gold Coast, Australia. Retrieved from

Weiss, J., Clements, D., Dugdale, T., Hamilton, G., Gonzalez, F., Hauser, C., & McCornack, B. (2015, December). Evaluating the effectiveness of UAV’s for pest management. Paper presented at 21st International Congress on Modelling and Simulation, Gold Coast, Australia.


Hamilton, G., Rasmussen, R., Müllerová, J., Pergl, J., & Pyšek, P. (2014). Defining the spatiotemporal surveillance space for alien species’ invasions using approximate Bayesian computation. Paper presented at 7th International Congress on Environmental Modelling and Software (iEMSs), San Diego, California. Retrieved from

Eldridge, J. (2014). Landscape ecology of the lesser grain borer, Rhyzopertha dominica (Masters by Research thesis). Retrieved from Queensland University of Technology. Retrieved from 


Elmouttie, D., Flinn, P., Kiermeier, A., Subramanyam, B., Hagstrum, D., & Hamilton, G. (2013). Sampling stored‐product insect pests: a comparison of four statistical sampling models for probability of pest detection. Pest management science69(9), 1073-1079. doi:10.1002/ps.3469)

Johnson, S., Abal, E., Ahern, K., & Hamilton, G. (2014). From Science to Management: Using Bayesian Networks to Learn about “Lyngbya”. Statistical Science, 29(1), 36-41. doi:10.1214/13-STS424


Eldridge, J., Whitehouse, M., Elmouttie, D., & Hamilton, G. (2012). Effects of cultivar on rodent damage in Australian macadamia orchards. Australian Journal of Crop Science6(6), 1110. Retrieved from;dn=734482702795076;res=IELHSS

Elmouttie, D., Hammond, N. E. B., & Hamilton, G. (2013). A review of current statistical methodologies for in-storage sampling and surveillance in the grains industry. Bulletin of entomological research103(2), 140-147. doi:10.1017/S0007485312000624

Steel, R., Elmouttie, D., & Hamilton, G. (2012). Geostatistical analysis of adult Rhyzopertha dominica (F.)(Coleoptera: Bostrichidae) in wheat stored at constant temperatures. Journal of stored products research50, 8-14. doi:10.1016/j.jspr.2012.03.003

Whitehouse, M., Eldridge, J. V., Elmouttie, D., & Hamilton, G. (2012). The spatial distribution of rodent damage in Australian macadamia (Macadamia integrifolia) orchards. Australian Journal of Crop Science, 6(10), 1423-1427. Retrieved from 

Rasmussen, R., & Hamilton, G. (2012). An approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata. Environmental Modelling & Software29(1), 1-10. doi:10.1016/j.envsoft.2011.10.005


Fulford, G. R., Lee, X. J., Berman, D., & Hamilton, G. (2011, December). Interaction of myxomatosis and Rabbit Haemorrhagic Disease in wild rabbit. Paper presented at 19th International Conference on Modelling and Simulation, Perth, Australia. Retrieved from

Hamilton, G., & Elmouttie, D. (2011). Insect distributions and sampling protocols for stored commodities. Stewart Postharvest Review7(3), 1-5. doi:10.2212/spr.2011.3.2


Elmouttie, D., Kiermeier, A., & Hamilton, G. (2010). Improving detection probabilities for pests in stored grain. Pest management science66(12), 1280-1286. doi:10.1002/ps.2009

Johnson, S., Fielding, F., Hamilton, G., & Mengersen, K. (2010). An integrated Bayesian network approach to Lyngbya majuscula bloom initiation. Marine Environmental Research69(1), 27-37. doi: 10.1016/j.marenvres.2009.07.004


Hamilton, G., McVinish, R., & Mengersen, K. (2009). Bayesian model averaging for harmful algal bloom prediction. Ecological Applications19(7), 1805-1814. doi:10.1890/08-1843.1

Hamilton, G. S., & Mather, P. B. (2009). Differential impacts of habitat heterogeneity on male and female connectivity in a spatially structured pest system. Austral ecology34(1), 41-49. doi:10.1111/j.1442-9993.2008.01880.x


Miller, E., Buys, L., Bell, L. M., Hargreaves, M., Dawes, L. A., & Hamilton, G. S. (2008). The ghost in the machine: trust and technology in the water recycling debate. International Journal of Environmental, Cultural, Economic and Social Sustainability4(1), 35-44. Retrieved from


Hamilton, G. S., Fielding, F., Chiffings, A. W., Hart, B. T., Johnstone, R. W., & Mengersen, K. (2007). Investigating the use of a Bayesian network to model the risk of Lyngbya majuscula bloom initiation in Deception Bay, Queensland, Australia. Human and Ecological Risk Assessment13(6), 1271-1287. doi:10.1080/10807030701655616


Hamilton, G. S., Mather, P. B., & Wilson, J. C. (2006). Habitat heterogeneity influences connectivity in a spatially structured pest population. Journal of Applied Ecology43(2), 219-226. doi:10.1111/j.1365-2664.2006.01132.x


Hamilton, G., Stoneking, M., & Excoffier, L. (2005). Molecular analysis reveals tighter social regulation of immigration in patrilocal populations than in matrilocal populations. Proceedings of the National Academy of Sciences102(21), 7476-7480. doi:10.1073/pnas.0409253102

Hamilton, G.S., Alston, C., Chiffings, T., Abal, E., Hart, B, & Mengersen, K (2005, December).  Integrating Science through Bayesian Belief Networks: Case study of Lyngbya in Moreton Bay. Paper presented at MODSIM 2003 International Congress on Modelling and Simulation, Townsville, Australia.

Grant Hamilton, Mathias Currat, Nicolas Ray, Gerald Heckel, Mark Beaumont and Laurent Excoffier. 2005. Bayesian estimation of recent migration rates after a spatial expansion. Genetics 170: 409-417.

Hamilton, G., Currat, M., Ray, N., Heckel, G., Beaumont, M. A., & Excoffier, L. (2005). Bayesian estimation of recent migration rates after a spatial expansion. Genetics, 170(1), 409-417. doi: 10.1534/genetics.104.034199


Excoffier, L., & 10.1126/science.1083411(2003). Comment on” Genetic structure of human populations”. Science300(5627), 1877-1877. doi:10.1126/science.1083411


Grant Hamilton:,_Grant.html

Alan Pearse:,_Alan.html