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1 福州市土壤重金属描述性统计特征 |
Tab. 1 Statistical values for measured content of soil heavy metals in Fuzhou City |
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重金属 | 最小值 (mg·kg-1) | 最大值 (mg·kg-1) | 平均值 (mg·kg-1) | 标准差 (mg·kg-1) | 偏度 (mg·kg-1) | 峰度 (mg·kg-1) | 变异系数 (%) | Cd | 0.01 | 2.94 | 0.74 | 0.38 | 1.49 | 8.21 | 51.35 | Cu | 5.68 | 94.60 | 23.54 | 14.89 | 1.93 | 5.32 | 63.25 | Pb | 8.78 | 155.96 | 44.85 | 24.37 | 1.76 | 3.97 | 54.34 | Cr | 0.75 | 111.55 | 26.13 | 17.85 | 1.69 | 4.53 | 68.31 | Zn | 1.15 | 383.13 | 101.19 | 54.73 | 1.63 | 5.54 | 54.09 | Ni | 0.23 | 50.96 | 12.25 | 8.73 | 1.79 | 4.86 | 71.27 |
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