Spatial Statistics

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

High concentrations of PM2.5 are a primary cause of haze in the lower atmosphere. A better understanding of the spatial heterogeneity and driving factors of PM2.5 concentrations is important for effective regional prevention and control. In this …

Determining the Mechanisms that Influence the Surface Temperature of Urban Forest Canopies by Combining Remote Sensing Methods, Ground Observations, and Spatial Statistical Models

The spatiotemporal distribution pattern of the surface temperatures of urban forest canopies (STUFC) is influenced by many environmental factors, and the identification of interactions between these factors can improve simulations and predictions of …

Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient

Regional soil quality issues arising from rapid urbanization have received extensive attention. The riverbank that runs through a city is representative of urbanization gradient transformation. Thirty soil samples in the Yangtze River Delta urban …

Influence of Walking Environment on Robbery, Snatch and Theft Crime in Urban Area, H City, China(Chinese)

I hope to enrich the theory of criminal geography through empirical research and provide suggestions for crime prevention planning in Chinese cities. Could the theory of Jacobs(the eyes of street) be applied in Chinese cities?In fact, our results will tell you that the Chinese cities is quite different from Western cities and the policy is not probably suitable.

The Scale Effect, Zoning Effect of Geographical Features, the Modified Areal Unit Problem and the Chanlleges of Spatial Stastistics

To introduce our study on the scale effect and zoning effect of geographical features, and how the modified areal unit problem (MAUP) influences the results.

Improving the prediction accuracy of forest aboveground biomass benchmark map by integrating machine learning and spatial statistics

We present a low-cost method to create high-precision, spatially explicit reference maps of large-scale forest aboveground biomass (AGB) to provide a scientific basis for quantitative assessment of forest management decisions involving, for example, …

High-Resolution Mapping of Direct CO₂ Emissions and Uncertainties at the Urban Scale

To introduce our study on gridded CO₂ emissions at the urban scale and the quantification of the uncertainties.

High-resolution mapping of direct CO₂ emissions and uncertainties at the urban scale

Mapping direct carbon emissions at high-resolution in urban environments could help in the development of measures to mitigate carbon emissions through optimizing the layout of inner structures. It requires the use of a mapping method combining the …

Individual and Interactive Influences of Anthropogenic and Ecological Factors on Forest PM2.5 Concentrations at an Urban Scale

Integration of Landsat images and multisource data using spatial statistical analysis and geographical detector models can reveal the individual and interactive influences of anthropogenic activities and ecological factors on concentrations of …

Research on the effects of different policy tools on China’s emissions reduction innovation(Chinese)

The impact that environmental regulation has on technology innovation is a hot spot in currently research which already has a large number of empirical studies based on Porter Hypothesis． However there are still controversies in academia about the …