Box, E. O. 1981. Macroclimate and plant form. Tasks for vegetation science 1. Dr. W. Junk Publishers, The Hague, 258 pp.
Breiman, L. H., R. Friedman, A. Olshen, and C. J. Stone. 1984. Classification and regression trees. Wadsworth International, Belmont, California, 358 pp.
Croome, R. J. 1987. Vegetation reflectance and its relationship to Landsat multispectral data. Unpublished Honours thesis. Department of Geography, Australia National University, Canberra.
Davey, S. M., and J. J. Russel-Smith. 1984. A case study in collecting resource information for forest managers. Pages 263–274,in K. Myers, C. R. Margules, and I. Musto (eds.), Survey methods for nature conservation, CSIRO, Canberra.
Jupp, D. L. B., J. Walker, and L. K. Penridge. 1986. Interpretation of vegetation structure in Landsat MSS imagery: A case study in disturbed semi-arid eucalypt woodlands. Part 2. Model-based analysis.Journal of Environmental Management 23:35–37.
Mackey, B. G., H. A. Nix, M. F. Hutchinson, and J. P. Macmahon. 1988. Assessing representativeness of places for conservation reservation and heritage listing.Environmental Management
Moore, D. M. 1988. SIMPLE—an analytical system for spatial data. Unpublished Honours thesis. Department of Geography, Australian National University, Canberra.
Moore, D. M., B. G. Lees, and S. M. Davey. 1991. A new method for predicting vegetation distributions using decision tree analysis in a geographic information system.Environmental Management (in press).
Pearson, R. A., and G. J. Collin. 1989. Vector evaluation of decision tree structures. Tech. Rep. CS89/18. Department of Computer Science, University College, University of New South Wales, Australian Defence Force Academy, Canberra.
Richards, J. A., D. A. Landgrebe, and P. H. Swain. 1982. A means for utilizing ancillary information in multispectral classification.Remote Sensing of Environment
Skidmore, A. K. 1989. An expert system classifies eucalypt forest types using thematic mapper data and a digital terrain model.Photogrammetric Engineering and Remote Sensing 54(10):1415–1421.
Spanner, M. A., A. H. Strahler, and J. E. Estes. 1983. Soil loss prediction in a geographic information system format. Proceedings, 17th international symposium on remote sensing of environment. Ann Arbor, Michigan, pp. 89–102.
Srinivasan, A., and J. A. Richards. 1990. Knowledge-based techniques for multi-source classification.International Journal of Remote Sensing 11:505–525.
Strahler, A. H., T. L. Logan, and N. A. Bryant. 1978. Improving forest cover classification accuracy from Landsat by incorporating topographic information. Proceedings, 12th international symposium on remote sensing of environment. pp. 927–942, Ann Arbor, Michigan.
Tunstall, B., B. A. Harrison, and D. L. B. Jupp. 1987. Incorporation of geographical data in the analysis of Landsat imagery for land-use mapping—a case example. Proceedings, 4th Australasian remote sensing conference. Adelaide, Australia, pp. 279–286.
Walker, P. A., and D. M. Moore. 1988. SIMPLE—an inductive modeling tool for spatially distributed data.International Journal of Geographic Information Systems 2:347–364.
Walker, J., D. L. B. Jupp, L. K. Penridge, and G. Tian. 1986. Interpretation of vegetation structure in Landsat MSS imagery: A case study in disturbed semi-arid eucalypt woodlands. Part 1. Field data analysis.Journal of Environmental Management 23:19–35.