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-  2016 

基于GWR模型的北极滨海平原融冻湖表面温度空间分布模拟
Modelling the Spatial Distribution of Lake Surface Water Temperature of the Thaw Lakes in Arctic Coastal Plain Using Geographically Weighted Regression Model

DOI: 10.13203/j.whugis20140411

Keywords: 北极融冻湖,湖泊表面温度,地理加权空间,空间分布模型,
thaw lake of Arctic
,lake surface water temperature,geographically weighted regression,spatial distribution model

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Abstract:

通过分析北极滨海平原融冻湖泊形态和空间特征与湖泊表面温度之间的相关性,选取湖泊面积、形态紧凑系数、平均深度、与楚科齐海岸线距离,与波弗特海岸线距离、纬度等6个影响因素为参数,分别利用普通最小二乘线性回归(OLS)法和地理加权回归(GWR)法构建湖泊表面温度的空间分布模型,并采用主成分分析法消除变量共线性以降低模型估计误差方差。研究结果表明,与OLS模型相比,GWR模型显著提高了模型拟合度(确定系数R2由0.648增至0.752)和精度(平均绝对误差从 0.47 K降至0.38 K;均方根误差从0.62 K降至0.44 K),能更好地模拟融冻湖泊表面温度的空间分布,可为极地地区区域性气候变化的研究提供更为可靠的多因素预测模型和统计解释

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