GWR模型在土壤重金属高光谱预测中的应用
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江振蓝, 杨玉盛, 沙晋明
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Application of GWR model in hyperspectral prediction of soil heavy metals
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Zhenlan JIANG, Yusheng YANG, Jinming SHA
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表4 福州市土壤重金属OLS及GWR预测模型的精度检验 |
Tab. 4 Prediction accuracy of OLS and GWR regression models in Fuzhou City |
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重金属 | 建模样本 | | 验证样本 | AIC | | 调节R2 | 残差平方和 | 调节R2 | 均方根误差 | OLS | | GWR | OLS | GWR | OLS | GWR | OLS | GWR | OLS | GWR | Cd | 75.807 | 78.544 | 0.181 | 0.196 | 10.986 | 10.330 | | 0.167 | 0.192 | 0.302 | 0.294 | Cu | 730.248 | 698.162 | 0.323 | 0.649 | 13758.666 | 4141.423 | 0.217 | 0.613 | 11.658 | 8.192 | Pb | 1204.227 | 1199.618 | 0.141 | 0.216 | 64334.784 | 55866.254 | 0.083 | 0.213 | 24.700 | 22.884 | Cr | 742.016 | 720.703 | 0.266 | 0.716 | 21484.197 | 5441.275 | 0.090 | 0.396 | 15.487 | 12.463 | Zn | 925.785 | 916.964 | 0.281 | 0.525 | 194869.446 | 92018.520 | 0.247 | 0.456 | 39.781 | 31.934 | Ni | 602.693 | 605.455 | 0.212 | 0.219 | 5406.102 | 5179.912 | 0.094 | 0.117 | 7.392 | 7.292 |
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