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Large language models (LLMs) encode substantial latent geographic knowledge, yet they reason poorly over space and are unreliable when queried from coordinates alone. Useful behaviour emerges only when structured spatial context is supplied in the prompt. This raises a question geographic evaluation has left unexamined...
UVLM (Unified Vision–Language Model), a pip-installable Python package that provides a unified interface for loading, configuring, and running multiple VLM architectures on custom image analysis tasks, is introduced.
This paper presents a planning-oriented assessment of streetscape qualities in the north-eastern periphery of Nice using the latest release of SAGAI (Streetscape Analysis with Generative AI), an open-source workflow that leverages vision-language models for large-scale streetscape analysis from Google Street View image...
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