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Kriging
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#	Item
91	Can we Assess the Impact of Estimating Arctic Surface Air Temperature Anomalies with Global Simple Kriging using In Situ Data? Emma Dodd1, Chris Merchant1, Nick Rayner2, Colin Morice2 University of Reading, Earley Gate, Add to Reading List Source URL: www.earthtemp.net Language: English - Date: 2015-01-21 08:25:13 In situ Kriging Climatology Errors and residuals in statistics Climate Statistics Information Science
92	Merging in situ and satellite data for gridded multidecadal analyses of sea surface temperature fields Summary Many climate-related applications require fully interpolated (i.e., with no spatial or temporal gaps) gridded Add to Reading List Source URL: www.earthtemp.net Language: English - Date: 2015-01-22 16:12:57 Regression analysis Interpolation Kriging Multivariate interpolation Sea surface temperature Variance Least squares Statistics Oceanography Geostatistics
93	5 th AGILE Conference on Geographical Information Science, Palma (Balearic Islands, Spain) April 25 th- 27thVarious Data Sources of Different Quality for DTM production Tomaž Podobnikar Scientific Research Centre Add to Reading List Source URL: itcnt05.itc.nl Language: English - Date: 2008-09-22 04:57:10 Science Topography Interpolation Geostatistics Remote sensing Digital elevation model Kriging Linear interpolation Contour line Cartography Information Statistics
94	Spatial properties of seasonal rainfall in southeast England Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2012-10-29 11:13:01 Semivariance Climate Anisotropy Rain Variance Kriging Statistics Geostatistics Variogram
95	Application of Geostatistical Methods for Public Health Risk Mapping Add to Reading List Source URL: itcnt05.itc.nl Language: English - Date: 2008-09-22 04:53:26 Epidemiology Covariance and correlation Time series analysis Spatial analysis Spatial epidemiology Kriging Geographic information system Autocorrelation Regression analysis Statistics Geostatistics Spatial data analysis
96	Coal Seam Thickness Prediction based on Least Squares Support Vector Machines and Kriging Method Chen Youkuo School of Resource and Earth Science, Key Laboratory of CBM Resources and Reservoir Formation Process of Minist Add to Reading List Source URL: www.ejge.com Language: English - Date: 2015-01-03 20:12:27 Regression analysis Multivariate interpolation Statistical classification Variogram Kriging Least squares support vector machine Support vector machine Linear interpolation Linear regression Statistics Geostatistics Interpolation
97	THE IMPORTANCE OF UNDERSTANDING ERROR IN LIDAR DIGITAL ELEVATION MODELS Smith, S.L a, Holland, D.A a, Longley, P.A b a b Add to Reading List Source URL: www.ordnancesurvey.co.uk Language: English - Date: 2014-05-14 06:53:52 Multivariate interpolation Cartography Geostatistics Bicubic interpolation Linear interpolation Kriging Digital elevation model Spatial analysis Cubic Hermite spline Interpolation Image processing Statistics
98	NRCSE Nonstationary spatial covariance modeling My experience: Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2007-07-10 10:06:52 Covariance and correlation Interpolation Kriging Multivariate interpolation Variogram Covariance function Statistics Geostatistics Spatial data analysis
99	ASX Announcement 2 December 2013 Revised Resource Estimate for Bird-in-Hand Gold Project HIGHLIGHTS Add to Reading List Source URL: www.terramin.com.au Language: English - Date: 2014-04-11 02:39:48 Geophysics Mineral economics Mineral exploration Drilling rig Mineral resource classification Core sample Kriging Core drill Exploration diamond drilling Economic geology Geology Mining
100	Advances in Modeling and Inference for Environmental Processes with Nonstationary Spatial Covariance Paul Sampson Doris Damian Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-06-20 17:12:01 Spatial data analysis Stochastic processes Time series analysis Variogram Kriging Covariance function Gaussian process Covariance matrix Covariance Statistics Geostatistics Covariance and correlation

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