2 citations · 2 across the 5 of their papers we have counts for
6 papers · 1 filter
Thermodynamic-Inspired Explainable GeoAI: Uncovering Regime-Dependent Mechanisms in Heterogeneous Spatial Systems
Sooyoung Lim, Zhenlong Li, Zi-Kui Liu
Modeling spatial heterogeneity and associated critical transitions remains a fundamental challenge in geography and environmental science. While conventional Geographically Weighte…
From Questions to Queries: An AI-powered Multi-Agent Framework for Spatial Text-to-SQL
Ali Khosravi Kazazi, Zhenlong Li, M. Naser Lessani +1
The complexity of SQL and the spatial semantics of PostGIS create barriers for non-experts working with spatial data. Although large language models can translate natural language…
Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models
Ruixiang Liu, Zhenlong Li, Ali Khosravi Kazazi
The rapid growth in the volume, variety, and velocity of geospatial data has created data ecosystems that are highly distributed, heterogeneous, and semantically inconsistent. Exis…
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS
Zhenlong Li, Huan Ning, Song Gao +13
The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic know…
GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis
Temitope Akinboyewa, Zhenlong Li, Huan Ning +1
Recent advancements in Generative AI offer promising capabilities for spatial analysis. Despite their potential, the integration of generative AI with established GIS platforms rem…
Beyond Words: Evaluating Large Language Models in Transportation Planning
Shaowei Ying, Zhenlong Li, Manzhu Yu
The resurgence and rapid advancement of Generative Artificial Intelligence (GenAI) in 2023 has catalyzed transformative shifts across numerous industry sectors, including urban tra…