Geostatistical references
Barbour, R., B. Russel, R. E. Burgan, and D. Fish. 2000. A geostatistical algorithm for estimating human risk of lyme disease on a national scale, pp. 1, Montreal.
Cressie, N. A. C. 1993. Geostatistics, pp. 29-104. In N. A. C. Cressie [ed.], Statistics for spatial data, revised edition. John Wiley & Sons, INC., New York.
Cressie, N. A. C. 1993. Spatial prediction and kriging, pp. 105-210. In N. A. C. Cressie [ed.], Statistics for spatial data, revised edition. John Wiley & Sons, INC., New York.
Cressie, N., and N. H. Chan. 1989. Spatial modeling of regional variables. J. Am. Stat. Assoc. 84: 393-401.
Cressie, N. 1986. Kriging nonstationary data. J. Am. Stat. Assoc. 81: 625-634.
Darnell, S. J., L. J. Meinke, L. J. Young, and C. Gotway. 1999. Geostatistical investigation of the small-scale spatial variation of western corn rootworm (Coleoptera: Chrysomelidae) adults. Environ. Entomol. 28: 266-274.
Haydon, D., and H. Steen. 1997. The effects of large- and small-scale random events on the synchrony of metapopulation dynamics: a theoretical analysis. Proc. R. Soc. Lond. B Bio. 264: 1375-1381.
Henebry, G. M. 1995. Spatial model error analysis using autocorrelation indices. Ecol. Model. 82: 75-91.
Journel, A. G. 1989. Short course: Fundamentals of geostatistics in five lessons, pp. 1-40, 28th International Geological congress, Washington, D.C.
Journel, A. G., and C. J. Huijbregts. 1973. Kriging and the estimation of IN SITU resources, pp. 303-443. In A. G. Journel and C. J. Huijbregts [eds.], Mining geostatistics. Academic Press, London.
Journel, A. G., and C. J. Huijbregts. 1973. Theory of regionalized variables, pp. 26-147. In A. G. Journel and C. J. Huijbregts [eds.], Mining geostatistics. Academic Press, London.
Journel, A. G., and C. J. Huijbregts. 1973. Case studies of structural analysis, pp. 236-302. In A. G. Journel and C. J. Huijbregts [eds.], Mining geostatistics. Academic Press, London.
Journel, A. G., and C. J. Huijbregts. 1973. Structural analysis, pp. 148-235. In A. G. Journel and C. J. Huijbregts [eds.], Mining geostatistics. Academic Press, London.
Jovaag, K. A. 1998. Explanation of median polish algorithm. Department of Statistics, Iowa State University document: 1 -11.
Koenig, W. D. 1999. Spatial autocorrelation of ecological phenomena. Trends Ecol. Evol. 14: 22-26.
Krajewski, S. A., and B. L. Gibbs. 2001. Inverse distance weighting, pp. 19-23. In S. A. Krajewski and B. L. Gibbs [eds.], Understanding contouring a practical guide to spatial estimation using a computer and variogram interpretation. Gibbs Associates, Boulder.
Krajewski, S. A., and B. L. Gibbs. 2001. Kriging (Geostatistics), pp. 23-31. In S. A. Krajewski and B. L. Gibbs [eds.], Understanding contouring a practical guide to spatial estimation using a computer and variogram interpretation. Gibbs Associates, Boulder.
Krajewski, S. A., and B. L. Gibbs. 2001. Triangulation, pp. 12-15. In S. A. Krajewski and B. L. Gibbs [eds.], Understanding contouring a practical guide to spatial estimation using a computer and variogram interpretation. Gibbs Associates, Boulder.
Kyriakidis, P. C., and A. G. Journel. 1999. Geostatistical space-time models: a review. Math. Geol. 31: 651-684.
Leuangthong, O., and C. V. Deutsch. 2004. Transformation of residuals to avoid artifacts in geostatistical modelling with a trend. Math. Geol. 36: 287-305.
Liebhold, A. M., and A. A. Sharov. 1998. Testing for correlation in the presence of spatial autocorrelation in insect count data, pp. 111 - 117. In B. e. al. [ed.], Population and community ecology for insect management and conservation. Balkema, Rotterdam.
Maglione, D. S., and A. M. Diblasi. 2001. Choosing a valid model for the variogram of an isotropic spatial process, 2001 Annual Conference of the International Association for Math. Geol., Cancun,  Mexico  September 6 -12.
Moran, P. A. P. 1947. Some theorems on time series II. the significance of the serial correlation coefficient. Biometrika 35: 255-260.
Oliver, M. A. 1990. Kriging: a method of interpolation for geographical information systems. International Journal of Geographical Information Systems 4: 313-332.
Papadopoulos, N. T., B. I. Katsoyannos, and D. Nestel. 2003. Spatial autocorrelation analysis of a Ceratitis capitata (Diptera: Tephritidae) adult population in a mixed deciduous fruit orchard in northern Greece. Environ. Entomol. 32: 319-326.
Ranta, E., V. Kaitala, J. Lindstrom, and H. Linden. 1995. Synchrony in population dynamics. Proc. R. Soc. Lond. B Bio. 262: 113-118.
Rossi, R. E., D. J. Mulla, A. G. Journel, and E. H. Franz. 1992. Geostatistical tools for modeling and interpreting ecological spatial dependence. Ecological monographs 62: 277-314.
Sokal, R. R., F.M.L.S, and N. L. Oden. 1978. Spatial autocorrelation in biology. Biol. J. Linn. Soc. 10: 199-228.
Treitz, P. 2001. Variogram analysis of high spatial resolution remote sensing data: An examination of boreal forest ecosystems. International Journal of Remote Sensing 22: 3895-3900.
Williams, L. I., D. J. Schotzko, and J. P. McCaffrey. 1992. Geostatistical description of the spatial distribution of Limonius californicus (Coleoptera: Elateridae) wireworms in the Northwestern United States, with comments on sampling. Environ. Entomol. 21: 983-995.
Wu, B. M., A. H. C. van Bruggen, K. V. Subbarao, and G. G. H. Pennings. 2001. Spatial analysis of lettuce downy mildew using geostatistics and geographic information systems. Phytopathology 91: 134-142.
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