Nathan McEachen discusses the integration of geospatial awareness into large language models (LLMs) through open-source software, emphasizing the importance of interoperability and knowledge-sharing in addressing complex societal issues. Highlights π Geospatial awareness is crucial for addressing public health and climate crises effectively. π Current data methodologies are siloed, making integration across domains challenging. π Knowledge infrastructures are needed to publish data in interoperable formats for better usability. π¨ The UN emphasizes collaboration across domains to tackle global challenges like sustainable development. π‘ Large language models can enhance data analysis but require reliable geospatial metadata. π§© Spatial knowledge graphs can help bridge gaps between geospatial data and LLMs by ensuring semantic relationships. β³ Data validity and changing boundaries pose ongoing challenges in geospatial analysis. For more content like this check out www.projectgeospatial.com #Geospatial #AI #OpenSource #DataIntegration #SustainableDevelopment #KnowledgeGraphs #PublicHealth
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