195 citations · 369 across the 15 of their papers we have counts for
15 papers
The Patterns of Life Human Mobility Simulation
Hossein Amiri, Will Kohn, Shiyang Ruan +6
We demonstrate the Patterns of Life Simulation to create realistic simulations of human mobility in a city. This simulation has recently been used to generate massive amounts of tr…
Extracting the U.S. building types from OpenStreetMap data
Henrique F. de Arruda, Sandro M. Reia, Shiyang Ruan +4
Building type information is crucial for population estimation, traffic planning, urban planning, and emergency response applications. Although essential, such data is often not re…
Function and form of U.S. cities
Sandro M. Reia, Taylor Anderson, Henrique F. Arruda +4
The relationship between urban form and function is a complex challenge that can be examined from multiple perspectives. In this study, we propose a method to characterize the urba…
Are Large Language Models Geospatially Knowledgeable?
Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser
Despite the impressive performance of Large Language Models (LLM) for various natural language processing tasks, little is known about their comprehension of geographic data and re…
Disentangled Dynamic Graph Deep Generation
Wenbin Zhang, Liming Zhang, Dieter Pfoser +1
Deep generative models for graphs have exhibited promising performance in ever-increasing domains such as design of molecules (i.e, graph of atoms) and structure prediction of prot…
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints
Liming Zhang, Liang Zhao, Dieter Pfoser
Trajectory data generation is an important domain that characterizes the generative process of mobility data. Traditional methods heavily rely on predefined heuristics and distribu…