Machine Learning

We used multi-sources data, machine learning and spatial statistics to devlop the accurate air pollution map.

We used machine learning, spatial statistics, ecological process model and remote sensing to construct map of urban carbon cycle.

We explored the spatial-temporal GIS theory and its applications.

Each city has different spatial features of urban development. These features are often affected by local urban development strategies and planning policies at that time. As the capital and most populous city in China, the urban built-up area of …

We want to know how the pattern of blue space and green space in urban influence the urban environment.