Spatial Statistics

The impact of environmental regulation on technology innovation is a hot spot in current research where a large number of empirical studies are based on Porter Hypothesis (PH). However, there are still controversies in academia about the …

To introduce our study on the environmental effect of urban form on PM2.5 using multi-source data.

We used multi-source data, machine learning, and spatial statistics to develop accurate air pollution maps and assess their health effects.

We study how the patterns of urban blue and green space shape the urban environment, from stormwater simulation and urban flooding to multi-perspective green space under expansion.

We used machine learning, spatial statistics, ecological process models, and remote sensing to construct maps of the urban carbon cycle.

We explored the spatial-temporal GIS theory and its applications, from crime geography and urban element mapping to causal discovery with empirical dynamic modeling.

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 …