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High Performance Multivariate Geospatial Statistics on Manycore Systems
2021
IEEE Transactions on Parallel and Distributed Systems
Modeling and inferring spatial relationships and predicting missing values of environmental data are some of the main tasks of geospatial statisticians. These routine tasks are accomplished using multivariate geospatial models and the cokriging technique. The latter requires the evaluation of the expensive Gaussian log-likelihood function, which has impeded the adoption of multivariate geospatial models for large multivariate spatial datasets. However, this large-scale cokriging challenge
doi:10.1109/tpds.2021.3071423
fatcat:ypss4jk7uvgc7klbjh72m33kt4