Geospatial Prediction

Geospatial prediction focuses on accurately forecasting geographic phenomena using computational methods. Current research emphasizes improving prediction accuracy and efficiency through novel model architectures, including those leveraging large language models (LLMs) to incorporate readily available textual data and multi-scale encoding schemes designed for spherical surfaces to address the limitations of Euclidean space representations. These advancements are crucial for various applications, such as environmental monitoring, resource management, and robotics, by enabling more precise and reliable predictions across diverse geographic scales.