参考文献


Bates, D. M. and Chambers, J. M. (1992). Nonlinear models. In Chambers, J. M. and Hastie, T. J., editors, Statistical Models in S, pages 421-453. Wadsworth and Brooks, Pacific Grove, California.

Carr, D. B., Olsen, A. T., and White, D. (1992). Hexagon mosaic maps for display of univariate and bivariate geographical data. Cartography and Geographical Information systems, 19:228-236.

Cleveland, W. S., Grosse, E., and Shyu, W. M. (1992). Local regression models. In Chambers, J. M. and Hastie, T. J., editors, Statistical Models in S, pages 309-376. Wadsworth and Brooks, Pacific Grove, California.

Cliff, A. D. and Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion Limited, London.

Cressie, N. (1985). Fitting variogram models by weighted least squares. Mathematical Geology, 17:563-586.

Cressie, N. (1986). Kriging nonstationary data. Journal American Statistical Association, 81:625-634.

Cressie, N. (1989). Geostatistics. American Statistician, 43:197-202.

Cressie, N. and Chan, N. H. (1989). Spatial modeling of regional variables. Journal American Statistical Association, 84:393-401.

Cressie, N. and Hawkins, D. M. (1980). Robust estimation of the variogram: I. Mathematical Geology, 12:115-125.

Cressie, N. and Read, T. R. C. (1989). Spatial data analysis of regional counts. Biometrical Journal, 31:699-719.

Cressie, N. A. C. (1993). Statistics for Spatial Data. Wiley, New York.

Diggle, P. J. (1983). Statistical Analysis of Spatial Point Patterns. Academic Press, New York.

Ecker, M. D. and Heltshe, J. F. (1994). Geostatistical estimates of scallop abundance. In Lange, N., Ryan, L., Billard, L., Brillinger, D., Conquest, L., and Greenhouse, J., editors, Case Studies in Biometry, pages 107-124. Wiley, New York.

Englund, E. and Sparks, A. (1992). GEO-EAS: Geostatistical Environmental Assessment Software. User's Manual IGWMC-FOS 53 PC, International Ground Water Modeling Center, Golden, CO. Version 1. 2. 1.

Gatrell, A. C., Bailey, T. C., Diggle, P. J., and Rowlingson, B. S. (1995). Spatial point pattern analysis and its application in geographical epidemiology. Research Report 29, North West Regional Research Laboratory, Lancaster University, Lancaster, UK.

Gerrand, D. J. (1969). Competition quotient: a new measure of the competition affecting individual forest trees. Research Bulletin No.20, Agricultural Experiment Station, Michigan, State University.

Gomez, M. and Hazen, K. (1970). Evaluating sulfur and ash distribution in coal seams by statistical response surface regression analysis. Technical Report RI7377, U. S. Bureau of Mines.

Griffith, D. A. (1995). Some guidelines for specifying the geographic weights matrix contained in spatial statistical models. In Arlinghaus, S. L., editor, Practical Handbook of Spatial Statistics, pages 65-82. CRC Press, Inc., Boca Raton.

Haining, R. (1990). Spatial Data Analysis in the Social and Environmental Sciences. Cambridge University Press, Cambridge.

Harper, W. V. and Furr, J. M. (1986). Geostatistical analysis of potentiometric data in the Wolfcamp Aquifer of the Palo Duro Basin, Texas. Technical Report ONWI-587, Batelle Memorial Institute, Columbus, Ohio.

Hutchings, M. J. (1979). Standing crop and pattern in pure stands of Mercurialis perennis and Rubus fruticosus in mixed deciduous woodland. Oikos, 31:351-357.

Isaaks, E. H. and Srivastava, R. M. (1989). An Introduction to Applied Geostatistics. Oxford University Press, New York.

Journel, A. G. and Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London.

Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58:1246-1266.

Ripley, B. D. (1976). The second-order analysis of stationary point processes. Journal o f Applied Probability, 13:255-266.

Ripley, B. D. (1981). Spatial Statistics. Wiley, New York.

Symons, M. J., Grimson, R. C. and Yuan, Y. C. (1983). Clustering of rare events. Biometrics, 39:193-205.

Venables, W. N. and Ripley, B. D. (1994). Modern Applied Statistics with S-PLUS. Springer-Verlag, New York.

Zimmerman, D. L. and Zimmerman, M. B. (1991). A comparison of spatial semivariogram estimators and corresponding ordinary kriging predictors. Technometrics, 33:77-92

ご意見、ご感想はNTTデータ数理システムS-PLUSグループ <splus-info@msi.co.jp>