Regression‐based covariance functions for nonstationary spatial modeling
In many environmental applications involving spatially‐referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …
number and locations of observations motivate the need for practical and efficient models for …
[引用][C] Regression‐based covariance functions for nonstationary spatial modeling
MD Risser, CA Calder - Environmetrics, 2015 - econpapers.repec.org
EconPapers: Regression‐based covariance functions for nonstationary spatial modeling
EconPapers Economics at your fingertips EconPapers Home About EconPapers Working …
EconPapers Economics at your fingertips EconPapers Home About EconPapers Working …
[PDF][PDF] Regression-based covariance functions for nonstationary spatial modeling
MD Rissera, CA Caldera - arXiv preprint arXiv:1410.1494, 2014 - Citeseer
In many environmental applications involving spatially-referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …
number and locations of observations motivate the need for practical and efficient models for …
Regression‐based covariance functions for nonstationary spatial modeling
MD Risser, CA Calder - Environmetrics, 2015 - infona.pl
In many environmental applications involving spatially‐referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …
number and locations of observations motivate the need for practical and efficient models for …
Regression-based covariance functions for nonstationary spatial modeling
MD Risser, CA Calder - arXiv preprint arXiv:1410.1494, 2014 - arxiv.org
In many environmental applications involving spatially-referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …
number and locations of observations motivate the need for practical and efficient models for …
[PDF][PDF] Regression-based covariance functions for nonstationary spatial modeling
M Risser - 2014 - u.osu.edu
Regression-based covariance functions for nonstationary spatial modeling Page 1
Regression-based covariance functions for nonstationary spatial modeling Mark Risser …
Regression-based covariance functions for nonstationary spatial modeling Mark Risser …
Regression-based covariance functions for nonstationary spatial modeling.
MD Risser, CA Calder - 2015 - cabidigitallibrary.org
In many environmental applications involving spatially-referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …
number and locations of observations motivate the need for practical and efficient models for …
[引用][C] Regression‐based covariance functions for nonstationary spatial modeling
MD Risser, CA Calder - Environmetrics, 2015 - ideas.repec.org
Regression‐based covariance functions for nonstationary spatial modeling IDEAS home Advanced
search Economic literature: papers, articles, software, chapters, books. Authors Institutions …
search Economic literature: papers, articles, software, chapters, books. Authors Institutions …
Regression-based covariance functions for nonstationary spatial modeling.
MD Risser, CA Calder - Environmetrics, 2015 - search.ebscohost.com
In many environmental applications involving spatially-referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …
number and locations of observations motivate the need for practical and efficient models for …
Regression-based covariance functions for nonstationary spatial modeling
MD Risser, CA Calder - arXiv e-prints, 2014 - ui.adsabs.harvard.edu
In many environmental applications involving spatially-referenced data, limitations on the
number and locations of observations motivate the need for practical and efficient models for …
number and locations of observations motivate the need for practical and efficient models for …