research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
06/20/2023
