More and more spatiotemporal data nowadays can be viewed as functional data. The first part of the talk focuses on the Argo data, which is a modern oceanography dataset that provides unprecedented global coverage of temperature and salinity measurements in the upper 2,000 meters of depth of the ocean. We discuss a functional kriging approach to predict temperature and salinity as a smooth function of depth, as well as a functional co-kriging approach of predicting oxygen concentration based on temperature and salinity data. 

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