Spatial Statistics

Local carbon emission zone construction in the highly urbanized regions: Application of residential and transport CO₂ emissions in Shanghai, China

Optimizing urban morphology can help city managers deploy internal carbon reduction strategies. However, due to the numerous factors that influence urban carbon emissions and the complex paths of their effects, existing research findings are diverse …

Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China

we develop a bikeability evaluation framework by combining the collected multi-source spatio-temporal big data.

Seeking your interest and going ahead will contribute to success

To share the experience of how to become an academic scholar with high school students.

A predition method of subtropical forest biomass

A predition method of subtropical forest biomass. CN108959705A

Improving the accuracy of forest biomass estimate using source analysis and machine learning

Improving the accuracy of forest biomass estimate using source analysis and machine learning. CN111814397A

A biomass estimation method by fusing plot data and forest inventory data

A biomass estimation method by fusing plot data and forest inventory data. CN110162872A.

Do neighborhood boundaries matter for examining the associations between environmental factors and obesity

To introduce our study on the effect of neighborhood boundaries on the associations between environmental factors and obesity, using Gaode location-based service data and multi-source geospatial data.

Global spreading of Omicron variant of COVID-19

Although two years have passed since the coronavirus disease 2019 (COVID-19) outbreak, various variants are still rampant across the globe. The Omicron variant, in particular, is rapidly gained dominance through its ability to spread. In this study, …

Assessing bicycle-sharing riding friendliness by fusing multi-source heterogeneous spatio-temporal big data

With the rapid development of mobile Internet and IoT, shared-bike use has surged, especially since 2020 when COVID-19 caused public transport suspension in many cities. Shared bikes have become a greener and healthier travel option. However, there …

Assessing riding friendliness by fusing multi-source heterogeneous spatio-temporal big data

With the rapid development of mobile Internet and IoT, shared-bike use has surged, especially since 2020 when COVID-19 caused public transport suspension in many cities. Shared bikes have become a greener and healthier travel option. However, there …