Concept

Kriging

OpenAlex ID: C81692654

Gaussian Processes in Machine Learning

2004 · Carl Edward Rasmussen · Lecture notes in computer science · 5,408

Statistics and Data Analysis in Geology

1987 · R. H. Shumway, John C. Davis · Technometrics · 4,778

Geostatistics for Natural Resources Evaluation

2000 · Timothy C. Coburn, Pierre Goovaerts · Technometrics · 4,131

Multivariable geostatistics in S: the gstat package

2004 · Edzer J Pebesma · Computers & Geosciences · 3,008

Geostatistics: Modeling Spatial Uncertainty

2000 · Michael L. Stein, Jean-Paul Chiles, et al. · Journal of the American Statistical Association · 2,880

A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain

1994 · Christopher Daly, Ronald P. Neilson, et al. · Journal of applied meteorology · 2,788

A European daily high‐resolution gridded data set of surface temperature and precipitation for 1950–2006

2008 · M. R. Haylock, N. Hofstra, et al. · Journal of Geophysical Research Atmospheres · 2,438

Interpolation of Spatial Data

1999 · Michael L. Stein · Springer series in statistics · 2,356

Kriging: a method of interpolation for geographical information systems

1990 · M. A. OLIVER, R. WEBSTER · International Journal of Geographical Information Systems · 2,196

AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

2011 · B. Echard, N. Gayton, et al. · Structural Safety · 2,038

Using spatial interpolation to construct a comprehensive archive of Australian climate data

2001 · Stephen J. Jeffrey, John O. Carter, et al. · Environmental Modelling & Software · 1,990

Metamodels for Computer-based Engineering Design: Survey and recommendations

2001 · T.W. Simpson, J.D. Poplinski, et al. · Engineering With Computers · 1,952

Interpolation of Spatial Data: Some Theory for Kriging

2000 · Stephen L. Rathbun, Michael L. Stein · Journal of the American Statistical Association · 1,916

The origins of kriging

1990 · Noel Cressie · Mathematical Geology · 1,763

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

2018 · Eric Schulz, Maarten Speekenbrink, et al. · Journal of Mathematical Psychology · 1,727

That BLUP is a Good Thing: The Estimation of Random Effects

1991 · G. K. Robinson · Statistical Science · 1,691

PDF

A Unifying View of Sparse Approximate Gaussian Process Regression

2005 · Joaquin Quiñonero-Candela, Carl Edward Rasmussen · 1,680

Comparative studies of metamodelling techniques under multiple modelling criteria

2001 · R. Jin, W. Chen, et al. · Structural and Multidisciplinary Optimization · 1,675

An adaptive inverse-distance weighting spatial interpolation technique

2008 · George Y. Lu, David W. Wong · Computers & Geosciences · 1,570

Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall

2000 · P. Goovaerts · Journal of Hydrology · 1,547

Gaussian Processes for Machine Learning

2004 · MATTHIAS SEEGER · International Journal of Neural Systems · 1,506

Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics

2002 · Sebastien Strebelle · Mathematical Geology · 1,455

A review of land-use regression models to assess spatial variation of outdoor air pollution

2008 · Gerard Hoek, Rob Beelen, et al. · Atmospheric Environment · 1,396

Sparse Gaussian Processes using Pseudo-inputs

2005 · Edward Snelson, Zoubin Ghahramani · 1,387

Kriging metamodeling in simulation: A review

2007 · Jack P.C. Kleijnen · European Journal of Operational Research · 1,275

Works count: 45,670

Citation count: 793,200