东非国家小城镇形成与发展的潜力——基于最大熵模型分析
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邱心叶, 陈爽, 刘圳南
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Town formation and development potential of East African countries based on maximum entropy model
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QIU Xinye, CHEN Shuang, LIU Zhennan
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表3 坦桑尼亚变量描述性统计
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Tab.3 Descriptive statistics for Tanzanian variables
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变量 | 城镇 | | 小城市 | 最小值 | 最大值 | 平均值 | 标准差 | 最小值 | 最大值 | 平均值 | 标准差 | dem/m | 14.00 | 1825.00 | 1003.36 | 448.85 | | 21.00 | 1947.00 | 942.85 | 541.46 | farmland/km | 0 | 119.54 | 33.38 | 28.97 | 0 | 137.59 | 28.88 | 30.36 | forest/km | 2.00 | 219.27 | 31.40 | 35.63 | 1.00 | 255.33 | 31.94 | 46.89 | large/km | 23.09 | 1096.18 | 618.92 | 303.98 | 32.57 | 1017.79 | 547.16 | 265.68 | medium/km | 4.12 | 454.25 | 93.43 | 82.88 | 22.09 | 471.30 | 99.45 | 90.94 | ndvi | 0.21 | 0.69 | 0.42 | 0.10 | 0.25 | 0.64 | 0.41 | 0.09 | prec/mm | 42.75 | 197.25 | 83.25 | 22.00 | 52.00 | 206.42 | 89.49 | 29.45 | primary/km | 0 | 211.09 | 52.16 | 48.25 | 0 | 234.00 | 58.77 | 53.51 | railway/km | 0 | 410.10 | 92.54 | 94.43 | 0 | 389.65 | 81.93 | 98.91 | secondary/km | 0 | 77.41 | 9.79 | 14.53 | 0 | 53.25 | 8.31 | 13.22 | slope/(°) | 0 | 20.08 | 2.15 | 2.33 | 0 | 17.13 | 2.09 | 2.73 | soil | 0 | 0.36 | 0.26 | 0.07 | 0 | 0.34 | 0.25 | 0.07 | water/km | 0 | 47.85 | 5.00 | 6.68 | 0 | 33.24 | 3.11 | 5.82 |
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