Location-based social networks (LBSNs) have been studied extensively in recent years.
However, utilizing real-world LBSN data sets yields several weaknesses: sparse and small …

Abstract Generative Adversarial Network (GAN) is widely used in many generative
problems, including in spatial information sciences and urban systems. The data generated …

Synthetic datasets, recognized for their cost effectiveness, play a pivotal role in advancing
computer vision tasks and techniques. However, when it comes to remote sensing image …

In this article, we survey the state-of-the-art in procedural generation of buildings (PGB). We
analyzed the design choices, capabilities, and limitations of 71 PGB approaches. We …

Geographically-explicit simulations have become crucial in understanding cities and are
playing an important role in Urban Science. One such approach is that of agent-based …

Abstract We introduce the Urban Life agent-based simulation used by the Ground Truth
program to capture the innate needs of a human-like population and explore how such …

As virtual worlds continue to rise in popularity, so do the expectations of users for the content
of virtual scenes. Virtual worlds must be large in scope and offer enough freedom of …

This research is primarily focused on utilizing available airborne LiDAR data and spatial
data from the OpenStreetMap (OSM) database to generate 3D models of buildings for a …

Global semantic 3D understanding from single-view high-resolution remote sensing (RS)
imagery is crucial for Earth Observation (EO). However, this task faces significant challenges …

Human mobility data science using trajectories or check-ins of individuals has many
applications. Recently, we have seen a plethora of research efforts that tackle these …