地理加权回归模型
比例(比率)
土壤水分
空间生态学
自然(考古学)
回归分析
自然地理学
地质学
地理
土壤科学
地图学
生态学
考古
统计
机器学习
生物
计算机科学
数学
作者
Yumin Yuan,Mark Cave,Haofan Xu,Chaosheng Zhang
标识
DOI:10.1016/j.jhazmat.2020.122377
摘要
In this study, geographically weighted regression (GWR) was applied to reveal the spatially varying relationships between Pb and Al in urban soils of London based on 6467 samples collected by British Geological Survey. Results showed that the relationships between Pb and Al were spatially varying in urban soils of London, with different relationships in different areas. The strong negative relationships between Pb and Al were found in the northeast and north areas and weak relationships were located in central areas, implying the links with the impact of anthropogenic activities on Pb concentration, while road traffic, industry activities and construction in centre of London may be linked to the weakened or changed direction of the relationship. However, positive relationships between Pb and Al were found in large parklands and greenspaces in the southeast and southwest as well as a small area in central London, due to less influences from human activities where the natural geochemical signatures were preserved. This study suggests that GWR is an effective tool to reveal spatially varying relationships in environmental variables, providing improved understanding of the complicated relationships in environmental parameters from the spatial aspect, which could be hardly achieved using conventional statistical analysis.
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