A generalization of inverse distance weighting and an equivalence relationship to noise-free Gaussian process interpolation via Riesz representation theorem-Reference-Cited by-同舟云学术

A generalization of inverse distance weighting and an equivalence relationship to noise-free Gaussian process interpolation via Riesz representation theorem

Published:2017-06-06 Issue:5 Volume:66 Page:1054-1066
ISSN:0308-1087
Container-title:Linear and Multilinear Algebra
language:en
Short-container-title:Linear and Multilinear Algebra

Author:

De Mulder Wim¹,Molenberghs Geert¹²,Verbeke Geert¹²

Affiliation:

1. I-BioStat, KU Leuven, Leuven, Belgium.

2. I-BioStat, Universiteit Hasselt, Hasselt, Belgium.

Funder

KU Leuven funded Geconcerteerde Onderzoeksacties (GOA) project ‘New approaches to the social dynamics of long-term fertility change’

Publisher

Informa UK Limited

Subject

Algebra and Number Theory

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081087.2017.1337057

Reference19 articles.

1. A two-dimensional interpolation function for irregularly-spaced data

2. Modelling vertical error in LiDAR-derived digital elevation models

3. Approximating potential integrals by cardinal basis interpolants on multivariate scattered data

4. Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan

5. Pollution models and inverse distance weighting: Some critical remarks

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