Spatial Statistics

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.

With the tide of Smart City and Big Data era, the author explore the practice of BIM & GIS in Smart Campus’s Planning Design and Application based on Fujian Normal University. It used Data Augmented Design, GIS spatial analysis, Space Syntax and City …

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