Application of FFT-based algorithms for large-scale universal kriging problems

Mathematical Geosciences

Volumn 41, Issue 5, 2009, Pages 509-533

  Fritz, Jochen ^a   Neuweiler, I ^b   Nowak, Wolfgang ^a,c  

^a UNIVERSITY OF STUTTGART   (Germany)

^b LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^c Univ of California   (United States)

Author keywords

Efficient geostatistical estimation; Fast Fourier transform; Spectral methods; Superfast Toeplitz solver

Indexed keywords

CO-KRIGING; COMPUTATIONAL POWER; CONDITIONAL SIMULATIONS; COVARIANCE FUNCTION; COVARIANCE MATRICES; DRIFT COEFFICIENT; EFFICIENT GEOSTATISTICAL ESTIMATION; ESTIMATION VARIANCE; FAST APPROXIMATION; FAST CONVOLUTION; GEOPHYSICAL INVERSION; HIGH RESOLUTION; KRIGING; MATRIX OPERATIONS; PROBLEM SIZE; RAINFALL INTERPOLATION; REGULAR GRIDS; SAMPLING LOCATION; SECOND ORDERS; SPECTRAL METHODS; STATIONARITY; STATIONARY COVARIANCE; STATIONARY PROBLEM; STORAGE CAPACITY; STORAGE EFFICIENCY; STORAGE REQUIREMENTS; SUPERFAST TOEPLITZ SOLVER; TEST CASE; UNIVERSAL KRIGING;

COVARIANCE MATRIX; ESTIMATION; FAST FOURIER TRANSFORMS; RADAR MEASUREMENT; RAIN; SPECTROSCOPY;

COMPUTATIONAL EFFICIENCY;

ALGORITHM; COVARIANCE ANALYSIS; ESTIMATION METHOD; FOURIER TRANSFORM; GEOSTATISTICS; INTERPOLATION; INVERSE PROBLEM; KRIGING; MATRIX; RAINFALL; REGRESSION ANALYSIS; SAMPLING; SEISMIC DATA;

EID: 67649921167     PISSN: 18748961     EISSN: 18748953     Source Type: Journal    
DOI: 10.1007/s11004-009-9220-x     Document Type: Article

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