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This is a Experimental Study study (also classified as: Quantitative Study).

October 16, 2025Open Access

CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluation

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This framework leverages generative artificial intelligence to enhance map design and evaluation, suggesting innovative cartographic solutions.

CartoAgent enables accurate and visually appealing maps through style transfer methods.
Utilizing multimodal large language models, it validates map designs through experiments and human evaluations.
The framework simulates three stages in cartography: preparation, design, and evaluation using distinct agents.
Future work can extend CartoAgent's capabilities, integrating generative AI further into cartographic practices.

Wang et al. (2025) studied this question.

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This framework leverages generative artificial intelligence to enhance map design and evaluation, suggesting innovative cartographic solutions.