Large-scale analysis of unfiltered search queries shows geospatial intent at 18% of total, dominated by transactional categories outside traditional GIS scope.
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2 Pith papers cite this work, alongside 66 external citations. Polarity classification is still indexing.
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SLM adds a dedicated spatial modality and training dataset to LLMs, enabling geometric spatial reasoning and outperforming prompt-based symbolic methods on the new SpatialEval benchmark.
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Much of Geospatial Web Search Is Beyond Traditional GIS
Large-scale analysis of unfiltered search queries shows geospatial intent at 18% of total, dominated by transactional categories outside traditional GIS scope.
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From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models
SLM adds a dedicated spatial modality and training dataset to LLMs, enabling geometric spatial reasoning and outperforming prompt-based symbolic methods on the new SpatialEval benchmark.