基于RF和SGT算法的子区优先建模对绿洲尺度 土壤盐度预测精度的影响
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王飞,杨胜天,魏阳,杨晓东,丁建丽
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Influence of Sub-Region Priority Modeling Constructed by Random Forest and Stochastic Gradient Treeboost on the Accuracy of Soil Salinity Prediction in Oasis Scale
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WANG Fei,YANG ShengTian,WEI Yang,YANG XiaoDong,DING JianLi
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表2 12个情景的土壤电导率(dS·m-1)统计特征
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Table 2 Summary statistics of salinity (dS·m-1) for the 12 scenarios used in this study
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情景 Scenario | 最小值 Min | 最大值 Max | 平均值 Average | 变异系数 CV | Q25 | Q50 | Q75 | S1 | 0.14 | 184.5 | 31.32 | 1.29 | 1.42 | 13.11 | 48.00 | S2 | 0.14 | 128.50 | 11.25 | 2.02 | 0.42 | 1.50 | 9.90 | S3 | 0.15 | 184.50 | 47.14 | 0.95 | 11.84 | 26.00 | 79.95 | S4 | 0.15 | 103.9 | 5.57 | 2.97 | 0.38 | 0.90 | 3.36 | S5 | 0.14 | 184.50 | 47.33 | 0.95 | 11.59 | 26.00 | 88.00 | S6 | 0.23 | 150.50 | 34.38 | 1.10 | 6.76 | 17.33 | 60.90 | S7 | 0.27 | 184.50 | 50.40 | 0.92 | 11.77 | 35.40 | 78.82 | S8 | 0.14 | 147.40 | 28.20 | 1.37 | 1.34 | 10.69 | 33.89 | S9 | 0.14 | 3.99 | 0.99 | 0.95 | 0.33 | 0.55 | 1.41 | S10 | 2.01 | 15.92 | 8.47 | 0.50 | 4.54 | 7.97 | 12.04 | S11 | 4.06 | 184.50 | 46.43 | 0.90 | 13.11 | 25.70 | 75.60 | S12 | 16.28 | 184.5 | 64.10 | 0.63 | 24.85 | 61.10 | 94.15 |
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