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![]() Date: 2014-04-08 15:10:01GStat Variogram Semivariance Spatial dependence Gnuplot Statistics Geostatistics Kriging | Add to Reading List |
![]() | Spatial Gaussian Process (GP) models for Massive Geostatistical Datasets Spatial Gaussian Process (GP) models—subsume kriging—for point-referenced geospatial datasets provide a statistically valid framework for prediDocID: 1sJDW - View Document |
![]() | Tenke-Fungurume Dynamic unfolding-complex geology case study of Tenke-Fungurume deposits by Justin Cardwell and Alyson CartwrightDocID: 1roOC - View Document |
![]() | OPTIMAL PREDICTORS FOR THE DATA COMPRESSION OF DIGITAL ELEVATION MODELS USING THE METHOD OF LAGRANGE MULTIPLIERS .DocID: 1rica - View Document |
![]() | Reservoir Modeling with GSLIB Introduction to GSLIB • •DocID: 1rgx6 - View Document |
![]() | CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422DocID: 1rftp - View Document |