6 papers
Automated Quality Assessment of Geospatial Vector Data: A GeoAI Approach using Spatial Representation Learning
Hao Li, Chen Chu, Filip Biljecki +2
Geospatial vector data quality is a foundational research topic in GIS, yet classic rule-based quality assessment algorithms often struggle with diverse urban morphologies and mass…
GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks
Toan Tran, Waqwoya Abebe, Abhishek Potnis +4
This paper investigates a novel concept of time series geolocalization, where the goal is to infer the geographic origin of each raw time series. Successful geolocalization can pro…
From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models
Chen Chu, Bita Azarijoo, Li Xiong +2
Recent large language models (LLMs) often appear to exhibit spatial reasoning ability; however, this capability is largely \emph{symbolic}, arising from pattern matching over spati…
TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning
Zhen Xiong, Shang-Ling Hsu, Cyrus Shahabi
Learning generalizable trajectory representations from raw GPS traces remains difficult because the data is continuous, noisy, and irregularly sampled. Spatial tokenization is also…
GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction
Narges Ghasemi, Amir Ziashahabi, Salman Avestimehr +1
Image geolocalization, the task of determining an image's geographic origin, poses significant challenges, largely due to visual similarities across disparate locations and the lar…
OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data
Amir Ziashahabi, Narges Ghasemi, Sajjad Shahabi +3
Accurate and up-to-date geospatial data are essential for urban planning, infrastructure monitoring, and environmental management. Yet, automating urban monitoring remains difficul…