most citedSpatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019★ 7 cited

Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks

Adrian Albert, Jasleen Kaur, Emanuele Strano +1

Accurately forecasting urban development and its environmental and climate impacts critically depends on realistic models of the spatial structure of the built environment, and of…

cs.LG2018

Modeling urbanization patterns with generative adversarial networks

Adrian Albert, Emanuele Strano, Jasleen Kaur +1

In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use inventory. We generated…