Spatial Statistics

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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

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.

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 …

Improving Plot-Level Model of Forest Biomass: A Combined Approach Using Machine Learning with Spatial Statistics

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.

High spatial resolution mapping of steel resources accumulated above ground in mainland China: Past trends and future prospects

High-resolution mapping of steel resources accumulated above ground (referred to as steel stocks) is critical for exploring urban mining and circular economy opportunities. Prior studies have attempted to approximate steel stocks using nighttime …