基于多源数据和深度学习的城市边缘区判定
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刘星南, 吴志峰, 骆仁波, 吴艳艳
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The definition of urban fringe based on multi-source data and deep learning
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LIU Xingnan, WU Zhifeng, LUO Renbo, WU Yanyan
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表2 广州市城市空间结构的统计结果
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Tab. 2 The statistical result of urban sapce structure in Guangzhou
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城市空间结构类型 | 城市核心区 | 城市边缘区 | 城市外缘区 | 各区总 面积 (km2) | 面积 (km2) | 各区百 分比(%) | 总百分 比(%) | 面积 (km2) | 各区百 分比(%) | 总百分比(%) | 面积 (km2) | 各区百 分比(%) | 总百分比(%) | 白云区 | 82.694 | 12.43 | 24.11 | 444.394 | 66.79 | 16.68 | 138.261 | 20.78 | 3.26 | 665.350 | 从化区 | 3.256 | 0.16 | 0.95 | 262.243 | 13.20 | 9.84 | 1 720.692 | 86.63 | 40.53 | 1 986.191 | 番禺区 | 41.955 | 5.44 | 12.23 | 499.051 | 64.71 | 18.73 | 230.241 | 29.85 | 5.42 | 771.248 | 海珠区 | 49.324 | 53.53 | 14.38 | 42.563 | 46.19 | 1.60 | 0.262 | 0.28 | 0.01 | 92.148 | 花都区 | 20.724 | 2.14 | 6.04 | 416.250 | 43.00 | 15.62 | 531.120 | 54.86 | 12.51 | 968.094 | 黄埔区 | 2.606 | 0.54 | 0.76 | 223.844 | 46.54 | 8.40 | 254.471 | 52.91 | 5.99 | 480.921 | 荔湾区 | 27.753 | 44.11 | 8.09 | 34.864 | 55.41 | 1.31 | 0.304 | 0.48 | 0.01 | 62.921 | 南沙区 | 0.007 | 0.00 | 0.00 | 173.278 | 39.48 | 6.50 | 265.643 | 60.52 | 6.26 | 438.928 | 天河区 | 70.282 | 51.43 | 20.49 | 60.679 | 44.40 | 2.28 | 5.695 | 4.17 | 0.13 | 136.656 | 越秀区 | 33.821 | 99.94 | 9.86 | 0.020 | 0.06 | 0.00 | 0.000 | 0.00 | 0.00 | 33.840 | 增城区 | 10.517 | 0.65 | 3.07 | 507.153 | 31.37 | 19.03 | 1 099.023 | 67.98 | 25.89 | 1 616.694 | 总计 | 342.938 | | 100.00 | 2 664.341 | | 100.00 | 4 245.712 | | 100.00 | 7 252.990 |
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