<ul><li>Location Intelligence (LI) focuses on turning geospatial data into actionable knowledge and is crucial for spatial decision-making.</li><li>Geospatial Representation Learning has been transforming LI development, with the recent advancements in deep neural networks (DNNs) and large language models (LLMs).</li><li>The integration of LLMs has enhanced capabilities for cross-modal geospatial reasoning and processing unstructured geo-textual data.</li><li>This survey provides a detailed overview of geospatial representation learning, categorizing advancements into data, methodological, and application perspectives, while also suggesting future research directions in the LLM era.</li></ul>

Unlocking Location Intelligence: A Survey from Deep Learning to The LLM Era

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