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| | 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 prediAdd to Reading ListSource URL: carbon.nasa.govDownload Document from Source Website File Size: 254,24 KBShare Document on Facebook
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