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- 2017
顾及手机基站分布的核密度估计城市人群时空停留分布
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Abstract:
为了减小人群在连续空间上停留分布的估计误差,结合手机基站的空间的分布特点,根据基站间的邻近性来计算带宽控制参数,使搜索带宽随着基站的分布而变化;利用最小二乘交叉验证和对数概率两种方法来评价其估计效果,结果表明变化带宽比固定带宽的核密度估计效果更优。以深圳市手机位置数据为例,利用改进方法估计了几个典型时段城市人群停留的时空分布差异,反映了城市人群对城市不同区域的使用情况及其随时间变化情况
[1] | Mao Xia, Xu Rongrong, Li Xinshuo, et al. Fine Grid Dynamic Features of Population Distribution in Shenzhen[J]. <em>Acta Geographica Sinica</em>, 2010, 65(4):443-453(毛夏, 徐蓉蓉, 李新硕,等. 深圳市人口分布的细网格动态特征[J]. 地理学报, 2010, 65(4):443-453) |
[2] | Wang B, Wang X. Bandwidth Selection for Weighted Kernel Density Estimation[J]. <em>The Electronic Journal of Statistics,</em> 2007, DOI:10.1214/154957804100000000 |
[3] | Kang C, Liu Y, Ma X, et al. Towards Estimating Urban Population Distributions from Mobile Call Data[J]. <em>Journal of Urban Technology</em>, 2012, 19(4):3-21 |
[4] | Lu Anmin, Li Chengming, Lin Zongjian, et al. Spatial Continuous Surface Model of Population Density[J]. <em>Acta Geodaetica et Cartographica Sinica</em>, 2003, 32(4):344-348(吕安民, 李成名, 林宗坚, 等. 人口密度的空间连续分布模型[J]. 测绘学报, 2003, 32(4):344-348) |
[5] | Deville P, Linard C, Martin S, et al. Dynamic Population Mapping Using Mobile Phone Data[J]. <em>Proceedings of the National Academy of Sciences</em>, 2014, 111(45):15888-15893 |
[6] | Lichman M, Smyth P. Modeling Human Location Data with Mixtures of Kernel Densities[C]. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,New York, 2014 |
[7] | Carlos H A, Shi X, Sargent J, et al. Density Estimation and Adaptive Bandwidths:A Primer for Public Health Practitioners[J]. <em>International Journal of health geographics</em>, 2010, 9(1):1-8 |
[8] | Tu Wei, Li Qingquan, Fang Zhixiang. A Heuristic Algorithm for Large Scale Vehicle Routing Problem[J]. <em>Geomatics and Imformation Science of Wuhan University</em>, 2013, 38(3):307-310(涂伟, 李清泉, 方志祥. 一种大规模车辆路径问题的启发式算法[J]. 武汉大学学报·信息科学版, 2013, 38(3):307-310) |
[9] | Liu Yu, Xiao Yu, Gao Song, et al. A Review of Human Mobility Research Based on Location Aware Devices[J].<em>Geography andGeoInformation Science</em>,2011,27(4):8-13(刘瑜, 肖昱, 高松,等. 基于位置感知设备的人类移动研究综述[J]. 地理与地理信息科学, 2011, 27(4):8-13) |
[10] | Shaw Shihlung, Fang Zhixiang. Rethinking Human Behavior Research from the Perspective of Space-time GIS[J]. <em>Geomatics and Informationg Science of Wuhan University</em>, 2014, 39(6):667-670(萧世伦, 方志祥. 从时空GIS视野来定量分析人类行为的思考[J]. 武汉大学学报·信息科学版, 2014, 39(6):667-670) |
[11] | Yan Qingwu, Bian Zhengfu, Zhang Ping,et al. Census Spatialization Based on Settlements Density[J]. <em>Geography and Geo-Information Science,</em> 2011, 27(5):95-98(闫庆武, 卞正富, 张萍, 等. 基于居民点密度的人口密度空间化[J]. 地理与地理信息科学, 2011, 27(5):95-98) |
[12] | Ratti C, Williams S, Frenchman D, et al. Mobile Landscapes:Using Location Data from Cell Phones for Urban Analysis[J]. <em>Environment and Planning B Planning and Design</em>, 2006, 33(5):727-732 |
[13] | Yu Wenhao, Ai Tinghua. The Visualization and Analysis of POI Features Under Network Space Supported by Kernel Density Estimation[J]. <em>Acta Geodaetica et Cartographica Sinica</em>, 2015,44(1):82-90(禹文豪, 艾廷华. 核密度估计法支持下的网络空间POI点可视化与分析[J]. 测绘学报, 2015, 44(1):82-90) |