基于道路交叉点邻域扩张曲线的城市边界识别——以成都、西安、武汉、南京和长沙为例
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林晓娟, 房世峰, 徐亚莉, 邹宝裕, 罗明良
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Identifying urban boundaries by clustering street node based on neighborhood dilation curve:A case study of Chengdu, Xi'an, Wuhan, Nanjing and Changsha
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Xiaojuan LIN, Shifeng FANG, Yali XU, Baoyu ZOU, Mingliang LUO
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表1 成都市城市边界识别过程 |
Tab.1 The process of Chengdu city boundary identification |
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搜索半径/m | 集群数目/个 | 最大集群面积/km2 | lg(r) | log(N) | 30 | 58609 | 1.8814 | 1.4771 | 4.7680 | 60 | 26068 | 130.0276 | 1.7782 | 4.4161 | 90 | 16471 | 373.5820 | 1.9542 | 4.2167 | 120 | 11202 | 650.0751 | 2.0792 | 4.0493 | 150 | 7827 | 888.4098 | 2.1761 | 3.8936 | 180 | 5378 | 1203.3913 | 2.2553 | 3.7306 | 210 | 3592 | 1725.4802 | 2.3222 | 3.5553 | 240 | 2295 | 2268.6984 | 2.3802 | 3.3608 | 270 | 1425 | 2676.9900 | 2.4314 | 3.1538 | 300 | 832 | 3394.7753 | 2.4771 | 2.9201 | 330 | 505 | 4484.4668 | 2.5185 | 2.7033 | 360 | 317 | 4937.5135 | 2.5563 | 2.5011 | 390 | 199 | 5289.0576 | 2.5911 | 2.2989 | 420 | 129 | 5612.1670 | 2.6232 | 2.1106 | 450 | 87 | 5836.9844 | 2.6532 | 1.9395 |
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