Efficient spatiotemporal interpolation with spark machine learning
Sign Up to like & getrecommendations! Published in 2018 at "Earth Science Informatics"
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
Spatiotemporal interpolation and forecast of irradiance data using Kriging
Sign Up to like & getrecommendations! Published in 2017 at "Solar Energy"
DOI: 10.1016/j.solener.2017.09.057
Abstract: Abstract Solar power variability is a concern to grid operators as unanticipated changes in PV plant power output can strain the electric grid. The main cause of solar variability is clouds passing over PV modules.… read more here.
Keywords: irradiance; parametric covariance; model; spatiotemporal interpolation ... See more keywords
Spatiotemporal Variation of Aerosol Optical Depth Based on 3-D Spatiotemporal Interpolation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3120105
Abstract: To solve the problem of low coverage of MODIS aerosol optical depth (AOD) products, this letter proposes a 3-D spatiotemporal interpolation method to predict missing values for time series AOD products. In this study, ordinary… read more here.
Keywords: spatiotemporal interpolation; aerosol optical; optical depth; interpolation ... See more keywords