Efficient spatiotemporal interpolation with spark machine learning
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DOI: 10.1007/s12145-018-0364-4
Abstract: To better assess the relationships between environmental exposures and health outcomes, an appropriate spatiotemporal interpolation is critical. Traditional spatiotemporal interpolation methods either consider the spatial and temporal dimensions separately or incorporate both dimensions simultaneously by… read more here.
Keywords: machine learning; spark; efficient spatiotemporal; spatiotemporal interpolation ... See more keywords