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SpatialLLM: From multi-modality data to urban spatial intelligence

delete2026-02-25
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OA
AI
J
Jiabin Chen
H
Haiping Wang
J
Jinpeng Li
Y
Yuan Liu *
Z
Zhen Dong *
B
Bisheng Yang
DOI:10.1016/j.jag.2026.105177delete
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Abstract

Abstract

En 中文
• Propose SpatialLLM, a framework for urban intelligence without fine-tuning. • Propose MDJD Module fusing urban spatial data into detailed scene description. • Reveal critical factors governing LLM spatial intelligence performance. • A novel dataset with spatial QA cases for evaluating LLM spatial perception.
Keywords:
Urban spatial intelligence
Structured scene description
Large language model
Multi-modality data
OpenStreetMap
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Journal

International Journal of Applied Earth Observation and Geoinformation cover
International Journal of Applied Earth Observation and Geoinformation
IF:
8.6
Papers:
5.1K
Citations:
2.4W

Organization

T
the hong kong university of science and technology
Scholars:
1.7K
Papers: 791
Citations: 0
W
wuhan university
Scholars:
8.0W
Papers: 5.8W
Citations: 70