4 papers
Toward AI-Friendly Cartography: Understanding How Color Design Influences Foundation Model Spatial Reasoning on Sequential Choropleth Maps
Yonghe Sun, Zhenjia Liu, Hua Liao +4
Foundation models (FMs) increasingly support multimodal and geospatial reasoning, yet it remains unclear whether cartographic principles designed for human perception are equally e…
Do Maps Still Matter for Machines: Revisiting the Role of Choropleth Maps in Foundation Model Spatial Understanding
Zhiwei Wei, Yonghe Sun, Zhenjia Liu +5
Spatial understanding is crucial for foundation models (FMs), and maps have long helped humans organize and reason about geographic information. This study examines whether choropl…
From Static to Dynamic: Evaluating the Perceptual Impact of Dynamic Elements in Urban Scenes via MLLM-Guided Generative Inpainting
Zhiwei Wei, Mengzi Zhang, Boyan Lu +3
Understanding urban perception from street view imagery has become a central topic in urban analytics and human centered urban design. However, most existing studies treat urban sc…
Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map Environments
Zhiwei Wei, Yuxing Liu, Hua Liao +1
Map environments provide a fundamental medium for representing spatial structure. Understanding how foundation model (FM) agents understand and act in such environments is therefor…