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- 2018
复杂地形地区月平均气温(混合)地理加权回归克里格插值
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Abstract:
以地形地貌特征复杂、观测站点分布稀疏不均匀的四川省为研究区，引入地形因子（坡度和坡向）和植被指数，采用顾及空间关系非平稳性的（混合）地理加权回归克里格模型（（mixed）geographically weighted regression Kriging，（m）GWRK）进行月尺度平均气温插值方法及精度分析研究。针对不同季节和不同地区，将（m）GWRK插值结果与基于全局回归的回归克里格（regression Kriging，RK）插值结果进行对比。结果表明，RK、GWRK、mGWRK回归关系的决定系数R2分别为0.795、0.922、0.911，均方根误差分别为0.83℃、0.64℃、0.55℃，表明GWRK、mGWRK对目标变量的解释能力以及插值精度都优于RK；GWRK、mGWRK相对于RK对月平均气温插值的改进具有季节与地区差异，冬半年的改进大于夏半年，在地形地貌变化大的地区改进大于地形地貌变化小的地区
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