Transforming geospatial textual data into narrative storytelling visualization Ma, Ruixian Current large language models (LLMs) often struggle to integrate geospatial data into dynamic, interactive visualizations, relying instead on text-based outputs. This limitation hinders the full potential of geospatial data to convey complex information through narrativedriven communication, making it difficult for users to interpret the data easily. Meanwhile, existing data visualization tools typically d