• Bivand, R.. 1980. A Monte Carlo study of correlation coefficient estimation with spatially autocorrelated observations. Quaest. Geogr. 6: 510.
  • Bray, R. J. and Curtis, J. T.. 1957. An ordination of the upland forest communities of southern Wisconsin. Ecol. Monogr. 27: 325349.
  • Cliff, A. D. and Ord, J. K.. 1981. Spatial processes – models and applications. Pion, London.
  • Clifford, P., Richardson, S. and Hémon, D.. 1989. Assessing the significance of the correlation between two spatial processes. Biometrics 45: 123134.
  • Cressie, N. A. C.. 1993. Statistics for spatial data, revised ed.. Wiley.
  • Deutsch, C. V. and Journel, A. G.. 1992. GSLIB – Geostatistical software library and user's guide. Oxford Univ. Press.
  • Dutilleul, P.. 1993. Modifying the t test for assessing the correlation between two spatial processes. Biometrics 49: 305314.
  • Edgington, E. S.. 1995. Randomization tests, 3rd ed.. Marcel Dekker, NY.
  • Galton, F.. 1898. Natural inheritance. Macmillan.
  • Haining, R.. 1990. Spatial data analysis in the social and environmental sciences. Cambridge Univ. Press.
  • Hutchinson, G. E.. 1957. Concluding remarks. Cold Spring Harbor Symp. Quant. Biol. 22: 415427.
  • Legendre, P. and Legendre, L.. 1998. Numerical ecology, 2nd English ed.. Elsevier.
  • Milligan, G. W.. 1996. Clustering validation – results and implications for applied analyses. – In: Arabie, P., Hubert, L. J. and De Soete, G. (eds), Clustering and classification. World Scientific Publ. Co, River Edge, NJ, pp. 341375.
  • Scherrer, B.. 1984. Biostatistique. Gaëtan Morin Ed., Boucherville.
  • Whittaker, R. H.. 1956. Vegetation of the Great Smoky Mountains. Ecol. Monogr. 26: 180.