Spatial statistical data fusion (SSDF)

Journal Article

Abstract

The approach models the spatial covariance function of the underlying geophysical field using linear combinations of multi-resolution spatial basis functions of low dimensionality.

Authors

Braverman, Amy (external author)
Nguyen, Hai (external author)
Cressie, Noel A.

Publication Date

2013

Has Subject Area

0104 - STATISTICS

Published In

NASA Tech Briefs: engineering solutions for design and manufacturing Journal

Citation

Braverman, A., Nguyen, H. & Cressie, N. (2013). Spatial statistical data fusion (SSDF). NASA Tech Briefs: engineering solutions for design and manufacturing, 37 (11), 1-1.

Ro Metadata Url

http://ro.uow.edu.au/eispapers/5962

Number Of Pages

0

Start Page

1

End Page

1

Volume

37

Issue

11

Place Of Publication

http://www.techbriefs.com/component/content/article/22746

Abstract

The approach models the spatial covariance function of the underlying geophysical field using linear combinations of multi-resolution spatial basis functions of low dimensionality.

Authors

Braverman, Amy (external author)
Nguyen, Hai (external author)
Cressie, Noel A.

Publication Date

2013

Has Subject Area

0104 - STATISTICS

Published In

NASA Tech Briefs: engineering solutions for design and manufacturing Journal

Citation

Braverman, A., Nguyen, H. & Cressie, N. (2013). Spatial statistical data fusion (SSDF). NASA Tech Briefs: engineering solutions for design and manufacturing, 37 (11), 1-1.

Ro Metadata Url

http://ro.uow.edu.au/eispapers/5962

Number Of Pages

0

Start Page

1

End Page

1

Volume

37

Issue

11

Place Of Publication

http://www.techbriefs.com/component/content/article/22746