Regression-Kriging

Results: 139



#Item
1OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL  ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS .

OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS .

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Source URL: mapcontext.com

Language: English - Date: 2008-08-29 22:13:05
2CSIRO PUBLISHING  www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

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Source URL: www.css.cornell.edu

Language: English - Date: 2015-10-21 13:33:05
3A Method for Handling Data that Exhibit Mixed Spatial Variation Bheshem Ramlal Assistant Lecturer, Department of Surveying and Land Information, The University of the West Indies, St. Augustine, Trinidad, West Indies, bh

A Method for Handling Data that Exhibit Mixed Spatial Variation Bheshem Ramlal Assistant Lecturer, Department of Surveying and Land Information, The University of the West Indies, St. Augustine, Trinidad, West Indies, bh

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Source URL: mapcontext.com

Language: English - Date: 2008-08-29 22:27:56
4Technical Note: Co-kriging with the gstat package of the R environment for statistical computing D G Rossiter University of Twente, Faculty of Geo-Information Science & Earth

Technical Note: Co-kriging with the gstat package of the R environment for statistical computing D G Rossiter University of Twente, Faculty of Geo-Information Science & Earth

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Source URL: www.css.cornell.edu

Language: English - Date: 2015-10-21 13:33:25
5Discriminative Estimation of 3D Human Pose Using Gaussian Processes

Discriminative Estimation of 3D Human Pose Using Gaussian Processes

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Source URL: www.ifp.illinois.edu

Language: English - Date: 2010-07-25 04:16:40
6Reservoir Modeling with GSLIB  Kriging • • •

Reservoir Modeling with GSLIB Kriging • • •

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Source URL: www.statios.com

Language: English - Date: 2009-07-15 11:48:00
7. .  , 2003, . 24, . 6, 1237–1258  Performance evaluation of spatial interpolation methods in the presence of noise ¨ ZPINAR and L. O ¨ ZDAMAR†

. .  , 2003, . 24, . 6, 1237–1258 Performance evaluation of spatial interpolation methods in the presence of noise ¨ ZPINAR and L. O ¨ ZDAMAR†

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Source URL: www.geog.ucsb.edu

Language: English - Date: 2005-02-02 12:21:41
8Exploring spatial methods for prediction of traffic volumes Georgios Sarlas, IVT, ETH – Zürich Kay W. Axhausen, IVT, ETH – Zürich Conference paper STRC 2016

Exploring spatial methods for prediction of traffic volumes Georgios Sarlas, IVT, ETH – Zürich Kay W. Axhausen, IVT, ETH – Zürich Conference paper STRC 2016

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Source URL: www.strc.ch

Language: English - Date: 2016-06-11 05:09:14
9Journal of Hydrology–129 www.elsevier.com/locate/jhydrol Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall P. Goovaerts*

Journal of Hydrology–129 www.elsevier.com/locate/jhydrol Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall P. Goovaerts*

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Source URL: www.geog.ucsb.edu

Language: English - Date: 2005-02-02 12:43:54
10Geostatistics / Interpolation / Multivariate interpolation / Kriging / Variogram / Spatial analysis / Spatial dependence / ArcGIS / Regression analysis / Semivariance / Inverse distance weighting / Georges Matheron

CE 397 Statistics in Water Resources Exercise 9 Geostatistical Analysis

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Source URL: www.ce.utexas.edu

Language: English - Date: 2009-04-09 18:54:31