This research introduces a novel framework integrating multimodal large language models with geospatial data, creating powerful new capabilities for geographic analysis and decision-making.

• Combines text, images, and spatial information to address complex geospatial challenges
• Spans multiple domains including Health Geography, Urban Geography, and Remote Sensing
• Establishes new methodologies for processing and interpreting location-based data at scale
• Demonstrates practical applications across diverse geographic contexts

Medical Impact: The Health Geography applications enable better epidemiological tracking, healthcare resource allocation, and public health planning through spatial analysis of medical data, potentially transforming how we address regional health disparities.

OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence