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We will explore some basic concepts and applications of spatial data analysis using modeling ideas from the fields of geostatistics and space-time statistics.  Connections will be made to the broader topic of Gaussian process regression, which is a powerful machine learning approach.  Applications will focus on environment and energy resources.