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08/10/2023
Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study
Increasingly large and complex spatial datasets pose massive inferential...
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07/16/2023
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
High spatial resolution wind data are essential for a wide range of appl...
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06/20/2023
Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks
Spatial processes observed in various fields, such as climate and enviro...
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06/20/2023