Generative Spatiotemporal Data Augmentation

This article likely discusses a novel approach to data augmentation, specifically focusing on spatiotemporal data. The use of 'generative' suggests the method involves creating synthetic data to enhance existing datasets. The focus on spatiotemporal data implies applications in fields like climate science, traffic analysis, or other areas where data has both spatial and temporal dimensions. The source, ArXiv, indicates this is a research paper, likely detailing the methodology, results, and potential impact of this augmentation technique.