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测绘学报  2015 

核密度估计法支持下的网络空间POI点可视化与分析

DOI: 10.11947/j.AGCS.2015.20130538, PP. 82-90

Keywords: 网络核密度,POI点分析,网络分析,空间统计

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Abstract:

城市空间POI点的分布模式、分布密度在基础设施规划、城市空间分析中具有重要意义,表达该特征的核密度法(kerneldensityestimation)由于顾及了地理学第一定律的区位影响,比其他密度表达方法(如样方密度、基于Voronoi图密度)占优.然而,传统的核密度计算方法往往基于二维延展的欧氏空间,忽略了城市网络空间中设施点的服务功能及相互联系发生于网络路径距离而非欧氏距离的事实.本研究针对该缺陷,给出了网络空间核密度计算模型,分析了核密度方法在置入网络结构中受多种约束条件的扩展模式,讨论了衰减阈值及高度极值对核密度特征表达的影响.通过实际多种POI点分布模式(随机型、稀疏型、区域密集型、线状密集型)下的核密度分析试验,讨论了POI基础设施在城市区域中的分布特征、影响因素、服务功能.

References

[1]  LI Deren. NII, NSDI and Digital Earth[J]. Acta Geodaetica et Cartographica Sinica,1999, 28(1): 32-37. (李德仁. 信息高速公路、空间数据基础设施与数字地球[J]. 测绘学报, 1999, 28(1): 1-5.)
[2]  XU Xueqiang, ZHOU Yixing, NING Yuemin. Urban Geography[M]. Beijing: Higher Education Press, 1997. (许学强, 周一星, 宁越敏. 城市地理学[M]. 北京: 高等教育出版社, 1997.)
[3]  BAILEY T, GATRELL A. Interactive Spatial Data Analysis[M]. Harlow: Longman, 1995.
[4]  SCHABENBERGER O, GOTWAY C A. Statistical Methods for Spatial Data Analysis[M]. Boca Raton: Chapman & Hall/CRC, 2005.
[5]  OLIVEIRA D P, GARRETT JR J H, SOIBELMAN L. A Density-based Spatial Clustering Approach for Defining Local Indicators of Drinking Water Distribution Pipe Breakage[J]. Advanced Engineering Informatics, 2011, 25(2): 380-389.
[6]  KRISP J M, DUROT S. Segmentation of Lines Based on Point Densities: An Optimisation of Wildlife Warning Sign Placement in Southern Finland[J]. Accident Analysis and Prevention, 2007, 39(1): 38-46.
[7]  DELMELLE E C, THILL J C. Urban Bicyclists: Spatial Analysis of Adult and Youth Traffic Hazard Intensity[J]. Transportation Research Record: Journal of the Transportation Research Board, 2008, 2074(1): 31-39.
[8]  XIE Z, YAN J. Kernel Density Estimation of Traffic Accidents in a Network Space[J]. Computers, Environment and Urban Systems, 2008, 32(5): 396-406.
[9]  MILLER H J. Market Area Delimitation within Networks Using Geographic Information Systems[J]. Geographical Systems, 1994, 1(2): 157-173.
[10]  OKABE A, OKUNUKI K, SHIODE S. SANET: A Toolbox for Spatial Analysis on a Network[J]. Geographical Analysis, 2006, 38(1): 57- 66.
[11]  OKABE A, YAMADA I. The K-function Method on a Network and Its Computational Implementation[J]. Geographical Analysis, 2001, 33(3): 271-290.
[12]  YAMADA I, THILL J. Local Indicators of Network-constrained Clusters in Spatial Point Patterns[J]. Geographical Analysis, 2007, 39(3): 268-292.
[13]  AI Tinghua, YU Wenhao. Algorithm for Constructing Network Voronoi Diagram Based on Flow Extension Ideas[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(5): 760-766. (艾廷华,禹文豪. 水流扩展思想的网络空间Voronoi图生成[J]. 测绘学报,2013, 42(5): 760-766.)
[14]  OKABE A, OKUNUKI K. A Computational Method for Estimating the Demand of Retail Stores on a Street Network and Its Implementation in GIS[J]. Transactions in GIS, 2001, 5(3): 209-220.
[15]  OKABE A, SATOH T, FURUTA T. A Kernel Density Estimation Method for Networks, Its Computational Method and a GIS-based Tool[J]. International Journal of Geographical Information Science, 2009, 23(1): 7-32.
[16]  BORRUSO G. Network Density Estimation: Analysis of Point Patterns over a Network[C]// Computational Science and Its Applications: ICCSA 2005. Singapore: Lecture Notes in Computer Science, 2005: 126-132.
[17]  BORRUSO G. Network Density and the Delimitation of Urban Areas[J]. Transactions in GIS, 2003, 7(2): 177-191.
[18]  BORRUSO G. Network Density Estimation: A GIS Approach for Analysing Point Patterns in a Network Space[J]. Transactions in GIS, 2008, 12(3): 377-402.
[19]  SHEATHER S J, JONES M C. A Reliable Data-based Bandwidth Selection Method for Kernel Density Estimation[J]. Journal of the Royal Statistical Society: Series B: Statistical Methodology, 1991, 53(3): 683-690.
[20]  ELGAMMAL A, DURAISWAMI R, HARWOOD D, et al. Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance[J]. Proceedings of the IEEE, 2002, 90(7): 1151-1163.
[21]  ECK J, CHAINEY S, CAMERON J, et al. Mapping Crime: Understanding Hotspots[EB/OL]. 2005[2013-08-14]. http://discovery.ucl.ac.uk/11291/1/11291.pdf
[22]  O'SULLIVAN D, UNWIN D J. Geographic Information Analysis[M]. New York: John Wiley & Sons, 2003.
[23]  LU Anmin, LI Chengming, LIN Zongjian, et al. Spatial Continuous Surface Model of Population Density[J]. Acta Geodaetica et Cartographica Sinica, 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.)
[24]  CHEN Yixin. CBD Urban Planning and Implement[M]. Beijing: China Architecture & Building Press, 2006. (陈一新. 中央商务区(CBD)城市规划设计与实践[M]. 北京: 中国建筑工业出版社,2006.)

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