89 citations · 195 across the 6 of their papers we have counts for
6 papers
MetroGAN: Simulating Urban Morphology with Generative Adversarial Network
Weiyu Zhang, Yiyang Ma, Di Zhu +2
Simulating urban morphology with location attributes is a challenging task in urban science. Recent studies have shown that Generative Adversarial Networks (GANs) have the potentia…
Quantifying navigation complexity in transportation networks
Zhuojun Jiang, Lei Dong, Lun Wu +1
The complexity of navigation in cities has increased with the expansion of urban areas, creating challenging transportation problems that drive many studies on the navigability of…
A gridded establishment dataset as a proxy for economic activity in China
Lei Dong, Xiaohui Yuan, Meng Li +2
Measuring the geographical distribution of economic activity plays a key role in scientific research and policymaking. However, previous studies and data on economic activity eithe…
Understanding the mesoscopic scaling patterns within cities
Lei Dong, Zhou Huang, Jiang Zhang +1
Understanding quantitative relationships between urban elements is crucial for a wide range of applications. The observation at the macroscopic level demonstrates that the aggregat…
Quantifying urban areas with multi-source data based on percolation theory
Wenpu Cao, Lei Dong, Lun Wu +1
Quantifying urban areas is crucial for addressing associated urban issues such as environmental and sustainable problems. Remote sensing data, especially the nighttime light images…
Modelling Irregular Spatial Patterns using Graph Convolutional Neural Networks
Di Zhu, Yu Liu
The understanding of geographical reality is a process of data representation and pattern discovery. Former studies mainly adopted continuous-field models to represent spatial vari…