메뉴 건너뛰기




Volumn 70, Issue 1, 2008, Pages 209-226

Fixed rank kriging for very large spatial data sets

Author keywords

Best linear unbiased predictor; Covariance function; Frobenius norm; Geostatistics; Mean squared prediction error; Non stationarity; Remote sensing; Spatial prediction; Total column ozone

Indexed keywords


EID: 37849041594     PISSN: 13697412     EISSN: 14679868     Source Type: Journal    
DOI: 10.1111/j.1467-9868.2007.00633.x     Document Type: Article
Times cited : (853)

References (40)
  • 2
    • 84988281754 scopus 로고    scopus 로고
    • Interpolation of geophysical data using continuous global surfaces
    • Billings, S. D., Beatson, R. K. Newsam, G. N. (2002a) Interpolation of geophysical data using continuous global surfaces. Geophysics, 67, 1810 1822.
    • (2002) Geophysics , vol.67 , pp. 1810-1822
    • Billings, S.D.1    Beatson, R.K.2    Newsam, G.N.3
  • 3
    • 0036867685 scopus 로고    scopus 로고
    • Smooth fitting of geophysical data using continuous global surfaces
    • Billings, S. D., Newsam, G. N. Beatson, R. K. (2002b) Smooth fitting of geophysical data using continuous global surfaces. Geophysics, 67, 1823 1834.
    • (2002) Geophysics , vol.67 , pp. 1823-1834
    • Billings, S.D.1    Newsam, G.N.2    Beatson, R.K.3
  • 4
    • 0000871407 scopus 로고
    • Fitting variogram models by weighted least squares
    • Cressie, N. (1985) Fitting variogram models by weighted least squares. J. Int. Ass. Math. Geol., 17, 563 586.
    • (1985) J. Int. Ass. Math. Geol. , vol.17 , pp. 563-586
    • Cressie, N.1
  • 5
    • 17944373890 scopus 로고
    • Geostatistics
    • Cressie, N. (1989) Geostatistics. Am. Statistn, 43, 197 202.
    • (1989) Am. Statistn , vol.43 , pp. 197-202
    • Cressie, N.1
  • 6
    • 0025683716 scopus 로고
    • The origins of kriging
    • Cressie, N. (1990) The origins of kriging. Math. Geol., 22, 239 252.
    • (1990) Math. Geol. , vol.22 , pp. 239-252
    • Cressie, N.1
  • 11
    • 33947194951 scopus 로고    scopus 로고
    • Approximate likelihoods for large irregularly spaced spatial data
    • Fuentes, M. (2007) Approximate likelihoods for large irregularly spaced spatial data. J. Am. Statist. Ass., 102, 321 331.
    • (2007) J. Am. Statist. Ass. , vol.102 , pp. 321-331
    • Fuentes, M.1
  • 12
    • 33750007327 scopus 로고    scopus 로고
    • Covariance tapering for interpolation of large spatial datasets
    • Furrer, R., Genton, M. G. Nychka, D. (2006) Covariance tapering for interpolation of large spatial datasets. J. Computnl Graph. Statist., 15, 502 523.
    • (2006) J. Computnl Graph. Statist. , vol.15 , pp. 502-523
    • Furrer, R.1    Genton, M.G.2    Nychka, D.3
  • 13
    • 21344434511 scopus 로고
    • Local prediction of a spatio-temporal process with an application to wet sulfate deposition
    • Haas, T. C. (1995) Local prediction of a spatio-temporal process with an application to wet sulfate deposition. J. Am. Statist. Ass., 90, 1189 1199.
    • (1995) J. Am. Statist. Ass. , vol.90 , pp. 1189-1199
    • Haas, T.C.1
  • 16
    • 0001890697 scopus 로고
    • On deriving the inverse of a sum of matrices
    • Henderson, H. V. Searle, S. R. (1981) On deriving the inverse of a sum of matrices. SIAM Rev., 23, 53 60.
    • (1981) SIAM Rev. , vol.23 , pp. 53-60
    • Henderson, H.V.1    Searle, S.R.2
  • 17
    • 0038374440 scopus 로고    scopus 로고
    • Hierarchical modeling of count data with application to nuclear fall-out
    • Hrafnkelsson, B. Cressie, N. (2003) Hierarchical modeling of count data with application to nuclear fall-out. Environ. Ecol. Statist., 10, 179 200.
    • (2003) Environ. Ecol. Statist. , vol.10 , pp. 179-200
    • Hrafnkelsson, B.1    Cressie, N.2
  • 18
    • 0036004133 scopus 로고    scopus 로고
    • Fast, resolution-consistent spatial prediction of global processes from satellite data
    • Huang, H.-C., Cressie, N. Gabrosek, J. (2002) Fast, resolution-consistent spatial prediction of global processes from satellite data. J. Computnl Graph. Statist., 11, 63 88.
    • (2002) J. Computnl Graph. Statist. , vol.11 , pp. 63-88
    • Huang, H.-C.1    Cressie, N.2    Gabrosek, J.3
  • 19
    • 33750997777 scopus 로고    scopus 로고
    • Variance-covariance modeling and estimation for multi-resolution spatial models
    • In. eds. X. Sanchez-Vila, J. Carrera. J. Gomez-Hernandez. pp. Dordrecht: Kluwer.
    • Johannesson, G. Cressie, N. (2004a) Variance-covariance modeling and estimation for multi-resolution spatial models. In geoENV IV - Geostatistics for Environmental Applications (eds X. Sanchez-Vila, J. Carrera J. Gomez-Hernandez pp. 319 330. Dordrecht : Kluwer.
    • (2004) GeoENV IV - Geostatistics for Environmental Applications , pp. 319-330
    • Johannesson, G.1    Cressie, N.2
  • 20
    • 1642423851 scopus 로고    scopus 로고
    • Finding large-scale spatial trends in massive, global, environmental datasets
    • Johannesson, G. Cressie, N. (2004b) Finding large-scale spatial trends in massive, global, environmental datasets. Environmetrics, 15, 1 44.
    • (2004) Environmetrics , vol.15 , pp. 1-44
    • Johannesson, G.1    Cressie, N.2
  • 24
    • 0009938263 scopus 로고
    • The observed distribution of atmospheric ozone and its variations
    • In. eds. R. C. Whitten. S. S. Prasad. pp. New York: Van Nostrand Reinhold.
    • London, J. (1985) The observed distribution of atmospheric ozone and its variations. In Ozone in the Free Atmosphere (eds R. C. Whitten S. S. Prasad pp. 11 80. New York : Van Nostrand Reinhold.
    • (1985) Ozone in the Free Atmosphere , pp. 11-80
    • London, J.1
  • 27
    • 84865486245 scopus 로고
    • Principles of geostatistics
    • Matheron, G. (1963) Principles of geostatistics. Econ. Geol., 58, 1246 1266.
    • (1963) Econ. Geol. , vol.58 , pp. 1246-1266
    • Matheron, G.1
  • 31
    • 84993734384 scopus 로고    scopus 로고
    • Multiresolution models for nonstationary spatial covariance functions
    • Nychka, D., Wikle, C. Royle, J. A. (2002) Multiresolution models for nonstationary spatial covariance functions. Statist. Modllng, 2, 315 331.
    • (2002) Statist. Modllng , vol.2 , pp. 315-331
    • Nychka, D.1    Wikle, C.2    Royle, J.A.3
  • 32
    • 29144453489 scopus 로고    scopus 로고
    • A unifying view of sparse approximate Gaussian process regression
    • Quiñonero-Candela, J. Rasmussen, C. E. (2005) A unifying view of sparse approximate Gaussian process regression. J. Mach. Learn. Res., 6, 1939 1959.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 1939-1959
    • Quiñonero-Candela, J.1    Rasmussen, C.E.2
  • 33
    • 0036522614 scopus 로고    scopus 로고
    • Fitting Gaussian Markov random fields to Gaussian fields
    • Rue, H. Tjelmeland, H. (2002) Fitting Gaussian Markov random fields to Gaussian fields. Scand. J. Statist., 29, 31 49.
    • (2002) Scand. J. Statist. , vol.29 , pp. 31-49
    • Rue, H.1    Tjelmeland, H.2
  • 35
    • 35349012069 scopus 로고    scopus 로고
    • Global statistical analysis of MISR aerosol data: A massive data product from NASA's Terra satellite
    • Shi, T. Cressie, N. (2007) Global statistical analysis of MISR aerosol data: a massive data product from NASA's Terra satellite. Environmetrics, 18, 665 680.
    • (2007) Environmetrics , vol.18 , pp. 665-680
    • Shi, T.1    Cressie, N.2
  • 36
    • 37849010186 scopus 로고    scopus 로고
    • A modeling approach for large spatial datasets
    • in the press.
    • Stein, M. (2008) A modeling approach for large spatial datasets. J. Kor. Statist. Soc., 37, in the press.
    • (2008) J. Kor. Statist. Soc. , vol.37
    • Stein, M.1
  • 38
    • 29144529837 scopus 로고    scopus 로고
    • A fast, optimal spatial-prediction method for massive datasets
    • Tzeng, S., Huang, H.-C. Cressie, N. (2005) A fast, optimal spatial-prediction method for massive datasets. J. Am. Statist. Ass., 100, 1343 1357.
    • (2005) J. Am. Statist. Ass. , vol.100 , pp. 1343-1357
    • Tzeng, S.1    Huang, H.-C.2    Cressie, N.3
  • 40
    • 0003466536 scopus 로고
    • Philadelphia: Society for Industrial and Applied Mathematics.
    • Wahba, G. (1990) Spline Models for Observational Data. Philadelphia : Society for Industrial and Applied Mathematics.
    • (1990) Spline Models for Observational Data.
    • Wahba, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.