摘要：We review recent developments related to inference for functions defined at spatial locations. We also consider time series of functions defined at irregularly distributed spatial points or on a grid. We focus on kriging, estimation of the functional mean and principal components, and significance testing, giving special attention to testing spatio--temporal separability in the context of functional data. We also highlight some ideas related to extreme value theory for spatially indexed functional time series.
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