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 predi

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Date: 2016-05-31 21:49:40		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 predi Add to Reading List Source URL: carbon.nasa.gov Download Document from Source Website File Size: 254,24 KB Share Document on Facebook