Application of Kriging technique to seismic intensity data

Bulletin of the Seismological Society of America

Volumn 95, Issue 2, 2005, Pages 540-548

  De Rubeis, Valerio ^a   Tosi, Patrizia ^a   Gasparini, Calvino ^a   Solipaca, Alessandro ^b  

^a ISTITUTO NAZIONALE DI GEOFISICA E VULCANOLOGIA   (Italy)

^b ITALIAN NATIONAL INSTITUTE OF STATISTICS   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; EARTHQUAKE EFFECTS; ERROR ANALYSIS; FRACTALS; INTERPOLATION;

DATA-SAMPLING DENSITY; MACROSEISMIC INTENSITY; SCALE-DEPENDENT COMPONENTS; SPATIAL ANALYSIS;

SEISMOLOGY;

DATA PROCESSING; KRIGING; SEISMIC DATA;

EID: 20444376515     PISSN: 00371106     EISSN: None     Source Type: Journal    
DOI: 10.1785/0120030250     Document Type: Article

References (23)

1. Chilès, J. P., and P. Delfiner (1999). Geostatistics, Modeling Spatial Uncertainty, Wiley, New York.
2. Cressie, N. (1991). Statistics for Spatial Data, Wiley, New York.
3. Davis, J. C. (2002). Statistics and Data Analysis in Geology, Third Ed., Wiley, New York.
4. De Rubeis, V., C. Gasparini, A. Maramai, M. Murru, and A. Tertulliani (1992a). The uncertainty and ambiguity of isoseismal maps, Int. J. Earthq. Eng. Struct. Dyn. 21, 509-523.
5. De Rubeis, V., C. Gasparini, and P. Tosi (1992b). Determination of the macroseismic field by means of trend and multivariate analysis of questionnaire data, Bull, Seism. Soc. Am. 82, 1206-1222.
6. Deutsch, C. V. (1996). Correcting for negative weights in ordinary kriging, Comput. Geosci. 22, no. 7, 765-773.
7. Evans, A. K. (1998). Fourier dimension and fractal dimension, Chaos, Solitons & Fractals 9, 1977-1982.
8. Fox, C. G. (1989). Empirically derived relationships between fractal dimension and power law form frequency spectra, Pure Appl. Geophys. 131, 211-239.
9. Gasperini, P. (2001). The attenuation of seismic intensity in Italy: a bilinear shape indicates the dominance of deep phases at epicentral distances longer than 45 km, Bull. Seism. Soc. Am. 91, 826-841.
10. Gasperini, P., F. Bernardini, G. Valensise, and E. Boschi (1999). Defining seismogenic sources from historical earthquakes felt reports, Bull. Seism. Soc. Am. 89, 94-110.
11. Guillaume, A. (1977). Introduction a la géologie quantitative, Masson, Paris.
12. Herzfeld, U. C., I. I. Kim, J. A. Orcutt, and C. G. Fox (1993). Fractal geometry and seafloor topography: theoretical concepts versus data analysis for the Juan de Fuca ridge and the East Pacific Rise, Ann. Geophys. 11, 532-541.
13. Isaaks, E. H., and R. M. Srivastava (1989). An Introduction to Applied Geostatistics, Oxford University Press, New York.
14. Korvin, G. (1992). Fractal Models in the Earth Sciences, Elsevier, Amsterdam, 253-264.
15. Main, I. G., T. Leonard, O. Papasouliotis, C. G. Hatton, and P. G. Meredith (1999). One slope or two? Detecting statistically significant breaks of slope in geophysical data, with application to fracture scaling relationships, Geophys. Res. Lett. 26, 2801-2804.
16. Matheron, G. (1963). Principles of geostatistics, Econ. Geol. 58, 1246-1266.
17. Matheron, G. (1972). Théorie des variables régionalisées, in Traité d'Informatique Géologique, Masson, Paris, 306-378.
18. Musson, R. M. W. (2000). Intensity-based seismic risk assessment, Soil Dyn. Earthquake Eng. 20, 353-360.
19. Pannatier, Y. (1996). VarioWin: software for spatial data analysis in 2D, Springer-Verlag, New York.
20. Pettenati, F., L. Sirovich, and F. Cavallini (1999). Objective treatment and synthesis of macroseismic intensity data sets using tessellation, Bull. Seism. Soc. Am. 89, 1203-1213.
21. Tosi, P., V. De Rubeis, and C. Gasparini (1995). An analytic method for separating local from regional effects on macroseismic intensity, Ann. Geofis. 38, 55-65.
22. Turcotte, D. L. (1992). Fractals and Chaos in Geology and Geophysics , Cambridge University Press, Cambridge, United Kingdom, 73-94.
23. Yamamoto, J. K. (2000). An alternative measure of the reliability of ordinary kriging estimates, Math. Geol. 32, 489-509.