3 citations · 9 across the 6 of their papers we have counts for
6 papers
M-SGWR: Multiscale Similarity and Geographically Weighted Regression
M. Naser Lessani, Zhenlong Li, Manzhu Yu +2
The first law of geography is a cornerstone of spatial analysis, emphasizing that nearby and related locations tend to be more similar, however, defining what constitutes "near" an…
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…
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…
An Autonomous GIS Agent Framework for Geospatial Data Retrieval
Huan Ning, Zhenlong Li, Temitope Akinboyewa +1
Powered by the emerging large language models (LLMs), autonomous geographic information systems (GIS) agents have the potential to accomplish spatial analyses and cartographic task…
Automated Floodwater Depth Estimation Using Large Multimodal Model for Rapid Flood Mapping
Temitope Akinboyewa, Huan Ning, M. Naser Lessani +1
Information on the depth of floodwater is crucial for rapid mapping of areas affected by floods. However, previous approaches for estimating floodwater depth, including field surve…
An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models
Mohammad Naser Lessani, Zhenlong Li, Jiqiu Deng +1
Multiple geographical feature label placement (MGFLP) has been a fundamental problem in geographic information visualization for decades. The nature of label positioning is proven…