Flexible Spatial Models for Kriging and Cokriging Using Moving Averages and the Fast Fourier Transform (FFT)
By Jay M. Ver Hoef, Noel Cressie, Ronald P. Barry. 2004
105 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Martin Schlather
- Huiyan Sang
- Tilmann Gneiting
- Jianhua Z. Huang
- William Kleiber
- A. C. Davison
- Marc G. Genton
- Michael L. Stein
In Environmental Engineering
- Martin Schlather
- Jianhua Z. Huang
- William Kleiber
- Huiyan Sang
- Tilmann Gneiting
- Mikyoung Jun
- Marc G. Genton
- Emilio Porcu
Citations in the corpus
- Matérn Cross-Covariance Functions for Multivariate Random Fields (2010, background): “The convolution approach to the construction of multivariate covariance functions has also been studied by Ver Hoef and Barry (1998), Gaspari and Cohn (1999), Oliver (2003), and Ver Hoef, Cressie, and Barry (2004), among other authors.”
- A full scale approximation of covariance functions for large spatial data sets (2012, methodology): “E-mail: huiyan@stat.tamu.edu example, Higdon (2002)), low rank splines or basis functions (e.g. Wikle and Cressie (1999), Ver Hoef et al. (2004), Kammann and Wand (2003) and Cressie and Johannesson (2008)) and predictive process models (Banerjee et al., 2008; Finley et al., 2009).”
- Some topics in convolution-based spatial modeling (2007, unknown): “In this case, Barry and Ver Hoef’s nonparametric kernels are taken to be piecewise constant functions of the form, k0(h) = p ∑ j=1 ajI ( (j − 1)c p < h ≤ jc k ) , whereI(·) denotes the indicator function, so thatk0(·) hasp steps each of rangec > 0.”