11 citations · 12 across the 5 of their papers we have counts for
5 papers
Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation
Yuhan jiang, Peng Luo, Liqiu Meng
Large language models (LLMs) are increasingly deployed as planners and assistants in tasks with inherent spatial structure, such as navigation and route planning, yet they remain b…
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Dongsheng Chen, Yu Feng, Xun Li +3
Understanding the high-order relationship between urban form and function is essential for modeling the underlying mechanisms of sustainable urban systems. Nevertheless, it is chal…
Toward Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics
Chuan Chen, Peng Luo, Bo Zhao +2
Spatial analysis can generate both exogenous and endogenous biases, which will lead to ethics issues. Exogenous biases arise from external factors or environments and are unrelated…
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
Xiayin Lou, Peng Luo, Liqiu Meng
Spatial prediction is a fundamental task in geography. In recent years, with advances in geospatial artificial intelligence (GeoAI), numerous models have been developed to improve…
Pervasive impact of spatial dependence on predictability
Peng Luo, Yongze Song, Wenwen Li +1
Understanding the complex nature of spatial information is crucial for problem solving in social and environmental sciences. This study investigates how the underlying patterns of…