Publications

  • Booth, T.H., Stein, J.A., Hutchinson, M.F. and Nix, H.A. 1990. Identifying areas within a country climatically suitable for particular tree species: an example using Zimbabwe. International Tree Crops Journal 6: 1-16.
  • Hijmans, R., S.E. Cameron, J. Parra, P. Jones, A. Jarvis, 2005. Very high resolution interpolated climate surface for global land areas. Int. J. Climatol., 25, 1965-1978.
  • Hutchinson, M.F. 1991. The application of thin plate smoothing splines to continent-wide data assimilation. In: Jasper, J.D. (ed), BMRC Research Report No.27, Data Assimilation Systems, Bureau of Meteorology, Melbourne, pp. 104-113.
  • Hutchinson, M.F. 1993. On thin plate splines and kriging. In: M.E.Tarter and M.D.Lock (eds), Computing Science and Statistics, Vol. 25. Interface Foundation of North America, University of California, Berkeley, pp. 55-62.
  • Hutchinson, M.F. 1995a. Interpolating mean rainfall using thin plate smoothing splines. International Journal of GIS 9:385-403.
  • Hutchinson, M.F. 1995b. Stochastic space-time weather models from ground-based data. Agricultural and Forest Meteorology 73: 237-264.
  • Hutchinson, M.F. 1998a. Interpolation of rainfall data with thin plate smoothing splines: I. Two dimensional smoothing of data with short range correlation. Journal of Geographic Information and Decision Analysis2(2):153-167.
  • Hutchinson, M.F. 1998b. Interpolation of rainfall data with thin plate smoothing splines: II. Analysis of topographic dependence. Journal of Geographic Information and Decision Analysis 2(2):168-185.
  • Hutchinson, M.F. 2008. Adding the Z-dimension. In: J.P. Wilson and A.S. Fotheringham (eds), Handbook of Geographic Information Science, Blackwell, pp 144-168.
  • Hutchinson, M.F. and Bischof, R.J. 1983. A new method for estimating the spatial distribution of mean seasonal and annual rainfall applied to the Hunter Valley, New South Wales. Australian Meteorological Magazine 31: 179-184.
  • Hutchinson, M.F., Booth, T.H., McMahon, J.P. and Nix, H.A. 1984. Estimating monthly mean values of daily total solar radiation for Australia. Solar Energy 32: 277-290.
  • Hutchinson, M.F. and Gessler, P.E. 1994. Splines - more than just a smooth interpolator. Geoderma 62: 45-67.
  • Hutchinson, M.F. and Kesteven, J.L. 1998. Monthly mean climate surfaces for Australia. Centre for Resource and Environmental Studies, Australian National University, Canberra.
  • Hutchinson, M.F., McIntyre, S., Hobbs, R.J., Stein, J.L., Garnett, S. and Kinloch, J. 2005. Integrating a global agro-climatic classification with bioregional boundaries in Australia. Global Ecology and Biogeography 14: 197-211.
  • Jarvis, C.H., and N. Stuart, 2001: A comparison among stategies for interpolating maximum and minimum daily air temperature. Part II: The interaction between number of guiding variables and the type of interpolation method. Journal of Applied Meteorology 40: 1075-1084.
  • Kesteven, J.L. and Hutchinson, M.F. 1996. Spatial modelling of climatic variables on a continental scale. In:Proceedings of the Third International Conference/Workshop on Integrating GIS and Environmental Modeling, NCGIA, Santa Barbara, California.
  • Kesteven, J.L. and Landsberg, J. 2004. Developing a National Forest Productivity Model: National Carbon Accounting System, Technical Report No.23. Department of Climate Change, Australian Government, Canberra.
  • Lindenmayer, D.B., Nix, H.A., McMahon, J.P., Hutchinson, M.F. and Tanton, M.T. 1991. The conservation of Leadbeater's possum, Gymnobelideus leadbeateri: a case study of the use of bioclimatic modelling. Journal of Biogeography 18: 371-383.
  • McKenney, D.W., J.H. Pedlar, P. Papadopal, M.F. Hutchinson, 2006a: The development of 1901-2000 historical monthly climate models for Canada and the United States.  Agricultural and Forest Meteorology138: 69-81.
  • McKenney, D.W., Hutchinson, M.F., Papadopol, P., Lawrence, K., Pedlar, J., Campbell, K., Milewska, E., Hopkinson, R.F., Price, D. and Owen, T. 2011. Customized spatial climate models for North America. Bulletin of the American Meteorological Society December 2011, 1611-1622.  doi:10.1175/BAMS-D-10-3132.1
  • McVicar, T.R., T.G. Van Niel, L.T. Li, M.F. Hutchinson, X.M. Mu, and Z.H. Liu, 2007: Spatially distributing monthly reference evapotranspiration and pan evaporation considering topographic influences. Journal of Hydrology 338: 196-220.
  • New, M., D. Lister, M. Hulme, and I. Makin, 2002: A high-resolution data set of surface climate over global land areas. Climate Research 21: 1–25.
  • Price, D.T., McKenney, D.W., Nalder, I.A., Hutchinson, M.F. and Kesteven, J.L. (2000). A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data. Agricultural and Forest Meteorology 101: 81-94.
  • Sharples, J.J., and M.F. Hutchinson, 2004: Multivariate spatial smoothing using additive regression splines.ANZIAM Journal 45: C676-C692.
  • Sharples, J.J., M.F. Hutchinson, and D.R. Jellett, 2005: On the horizontal scale of elevation dependence of Australian monthly precipitation. Journal of Applied Meteorology 44: 1850-1865.
  • Smith, D.I., Hutchinson, M.F. and McArthur, R.J. 1992. Climatic and agricultural drought: payments and policy. Resource and Environmental Studies No. 7, Australian National University, 103 pp.
  • Wahba, G. abd Wendelberger, J. 1980. Some new marthematical metghiods for variational objective analysis using splines and cross-validation. Monthly Weather Review 108: 1122-1145.
  • Xu, T. and Hutchinson, M.F. 2012. ANUCLIM environmental modelling package – new developments and applications. Submitted.

Updated:  13 December 2017/Responsible Officer:  Director Fenner School/Page Contact:  Webmaster Fenner School