Spatial Statistics

Accurate assessments of the historical and current status of eco-environmental quality (EEQ) are essential for governments to have a comprehensive understanding of regional ecological conditions, formulate scientific policies, and achieve the United …

To introduce some cases of my health geography studies.

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

We just want to talk about how to become a academic scholar.

A mixed-effect model for estimation of large area subtropical forest biomass. CN108959705A

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

A forest inventory biomass estimation model by multisources data fusion. CN110162872A.

Using Gaode location based service data and travel time mapping produced by multi-sources geospatial data to investigate the effect of neighborhood boundaries on examining the associations between environmental factors and obesity.

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, …

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.