Gps Embeddings

GPS Embeddings are a series of feature learning techniques that map GPS coordinates to real-number vectors, aiming to enhance the representation and predictive performance of location data in machine learning models by capturing complex relationships and patterns in geographic space. They are widely used in geographic information systems, location recommendation systems, and spatiotemporal data analysis.