Education
B.Sc. Surveying and Mapping Sciences (1985, North East London Polytechnic, UK)
M.Sc. Land Information Systems (1994, Hong Kong Polytechnic University)
Diploma in University Teaching (1999, University of New Brunswick, Canada)
Ph.D. Geomatics Engineering (2000, University of New Brunswick, Canada)
Postdoctoral Research Associate (2001-2007, University of Cambridge, UK)
Geographical Information Systems (GIS) and Spatial Analysis in Public Health; Disease Mapping; Spatial Epidemiology; Health Geomatics.
One of my main areas of research is GIS and spatial analysis methodologies and their applications in public health. Some of my recent projects relate to Bayesian spatial modeling for applications in spatial and spatio-temporal epidemiology; healthy communities and the built environment; web-based GIS public health planning system; and GIS and spatial methods for renewable energy and health research. In transfer of spatial technology for health planning in practice, I have participated in related projects in public health regions. My other research area in environmental criminology has provided insights for healthy and safe community planning through investigating offenders, offences, and their links with the built environment.
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Law, J. (2012) “Health and the Environment: A Geographical Study of Drugs at Different School Neighbourhoods”, Proceedings of 3rd International Conference on Environment Science and Development, IACSIT Press, Vol. 8, pp 230-236.
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Christidis, T.*, and J. Law (2012) “Challenges to Studying the Health Effects of Wind Turbines among Different Research Designs”, Proceedings of 2012 International Conference on Clean and Green Energy, IACSIT Press, Vol. 27, pp 1-5.
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Christidis, T.*, and J. Law (2012), “The Use of GIS in Wind Turbine and Wind Energy Research”, Journal of Renewable and Sustainable Energy, 4, 012701 (2012); DOI: 10.1063/1.3673565.
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Chan, W.*, J. Law, and P. Seliske (2011) “Bayesian Spatial Methods for Small-Area Injury Analysis: a Study of Geographic Variation of Falls in Older People in the Wellington-Dufferin-Guelph Health Region in Ontario, Canada” Injury Prevention, DOI: 10.1136/injuryprev-2100-040068.
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Law, J. and P. Chan (2011). “Bayesian Spatial Random Effect Modeling for Analyzing Burglary Risks Controlling for Offender, Socioeconomic, and Unknown Risk Factors.” Applied Spatial Analysis and Policy, DOI: 10.1007/s12061-011-9060-1.
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Law, J. and P. Chan (2011). “Monitoring Residual Spatial Pattern using Bayesian Hierarchical Spatial Modelling for Exploring Unknown Risk Factors.”Transactions in GIS, Vol. 15 (4): 521-549.
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Haining, R. and J. Law (2011). “Geographical Information Systems Models and Spatial Data Analysis” in Research Tools in Natural Resource and Environmental Ecomomics, edited by Batabyal, A. and P. Nijkamp, World Scientific Publishing, pp 377-401.
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Meng, G.*, J. Law, and M. Thompson (2010). “Small-scale health-related indicator acquisition using secondary data spatial interpolation.” International Journal of Health Geographics 2010, 9:50 (13 October 2010).
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Haining, R., G. Li, R. Maheswaran, Blangiardo, M., J. Law, N. Best, and S. Richardson (2010). “Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data.” Spatial and Spatio-temporal Epidemiology, 1:123-131.
- Haining,R., J. Law, and D. Griffith (2009). “Modelling small area counts in the presence of overdispersion and spatial autocorrelation.” Computational Statistics and Data Analysis, 53: 2923-2937.
- Law, J. (2009). Book review: “Lawson, A.B. Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology. CRC 2008.” Biometrics Vol. 65, 661-662.
- Law, J., and P. Chan (2009). “GIS in Public Health” in W. Dong (ed.) Public Health Sciences, Renmin University Press, Beijing, pp 199-218.