基于空间聚类分层抽样的黄骅市县域耕地质量等别监测样点布设
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杨江燕, 殷守强, 张利, 门明新, 陈影
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The layout of county area cultivated land quality monitoring samples in Huanghua City based on spatial clustering stratified sampling
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Jiangyan YANG, Shouqiang YIN, Li ZHANG, Mingxin MEN, Ying CHEN
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表1 黄骅市不同备选监测区方案中各抽样误差对应的综合样本量 |
Table 1 Comprehensive sample sizes corresponding to different sampling errors in different alternative schemes of monitoring zones in Huanghua |
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分区数/个 | 0.1% | 0.2% | 0.3% | 0.4% | 0.5% | 1.0% | 1.5% | 2.0% | 2.5% | 3.0% | 3.5% | 4.0% | 4.5% | 5.0% | 6.0% | 7.0% | 8.0% | 9.0% | 10.0% | 5 | 14 001 | 11 422 | 9 312 | 7 554 | 6 271 | 2 596 | 1 314 | 777 | 511 | 361 | 267 | 206 | 164 | 133 | 94 | 70 | 55 | 43 | 36 | 10 | 12 086 | 9 634 | 8 051 | 6 643 | 5 441 | 2 195 | 1 102 | 651 | 425 | 299 | 222 | 170 | 135 | 110 | 75 | 56 | 44 | 34 | 28 | 15 | 11 890 | 9 649 | 8 142 | 6 779 | 5 590 | 2 282 | 1 151 | 680 | 447 | 313 | 230 | 180 | 142 | 116 | 78 | 60 | 47 | 38 | 29 | 20 | 9 116 | 5 764 | 3 881 | 2 813 | 2 118 | 699 | 332 | 192 | 127 | 88 | 69 | 53 | 49 | 38 | 31 | 25 | 23 | 22 | 21 | 25 | 8 960 | 5 717 | 3 679 | 2 491 | 1 777 | 530 | 245 | 141 | 93 | 68 | 51 | 41 | 36 | 31 | 29 | 26 | 26 | 25 | 25 | 30 | 5 775 | 2 981 | 1 677 | 1 041 | 703 | 194 | 89 | 54 | 42 | 34 | 32 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 35 | 5 602 | 2 964 | 1 686 | 1 058 | 718 | 199 | 97 | 61 | 47 | 38 | 37 | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 40 | 4 272 | 2 065 | 1 138 | 702 | 475 | 140 | 73 | 52 | 44 | 42 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 45 | 3 670 | 1 783 | 972 | 600 | 408 | 124 | 56 | 55 | 49 | 46 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 50 | 2 798 | 1 319 | 719 | 446 | 305 | 105 | 65 | 55 | 51 | 51 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 55 | 2 599 | 1 215 | 665 | 416 | 287 | 100 | 66 | 59 | 56 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 60 | 2 354 | 1 022 | 543 | 337 | 236 | 90 | 68 | 61 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 65 | 1 465 | 609 | 327 | 213 | 155 | 77 | 67 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 70 | 2 180 | 833 | 425 | 261 | 188 | 83 | 72 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 75 | 1 517 | 599 | 323 | 211 | 155 | 83 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 80 | 1 728 | 710 | 383 | 250 | 182 | 91 | 82 | 80 | 80 | 80 | 80 | 80 | 80 | 80 | 80 | 80 | 80 | 80 | 80 | 85 | 1 413 | 562 | 309 | 208 | 157 | 92 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 85 | 90 | 1 026 | 425 | 246 | 173 | 137 | 94 | 91 | 90 | 90 | 90 | 90 | 90 | 90 | 90 | 90 | 90 | 90 | 90 | 90 | 95 | 1 601 | 729 | 412 | 275 | 206 | 112 | 97 | 95 | 95 | 95 | 95 | 95 | 95 | 95 | 95 | 95 | 95 | 95 | 95 | 100 | 1 265 | 509 | 289 | 201 | 158 | 107 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
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