GeoAI

To introduce several cases of my health geography studies.

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

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

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. CN110162872A.

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 …

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 …

Estimating the aboveground biomass (AGB) at the plot level plays a major role in connecting accurate single-tree AGB measurements to relatively difficult regional AGB estimates. The goal of this study is to determine whether combining machine learning with spatial statistics reduces the uncertainty of plot-level AGB estimates.

The coronavirus disease 2019 (COVID-19) pandemic can cause reverse zoonoses (i.e., human–animal transmission of COVID-19). It is vital to utilize up-to-date methods to improve the control, management, and prevention of reverse zoonoses. Awareness of …

To introduce our study on the health risk of short-term PM2.5 exposure during the Spring Festival, using Tencent location-based service data and machine learning mapping.