The analysis and delimitation of Central Business District using network kernel density estimation

作者: Wenhao Yu , Tinghua Ai , Shiwei Shao

DOI: 10.1016/J.JTRANGEO.2015.04.008

关键词: Representation (mathematics)Euclidean spaceUrban planningNetwork analysisStreet networkKernel density estimationComputer scienceOperations managementScatter plotPoint of interestData mining

摘要: … We analyzed and delimitated Central Business District by using network kernel density … Defining and delineating the Central Business District as it is characterized by human activities …

参考文章(39)
Giuseppe Borruso, Andrea Porceddu, A Tale of Two Cities: Density Analysis of CBD on Two Midsize Urban Areas in Northeastern Italy Springer Berlin Heidelberg. pp. 37- 56 ,(2009) , 10.1007/978-3-540-89930-3_3
Spencer Chainey, Svein Reid, Neil Stuart, When is a hotspot a hotspot? A procedure for creating statistically robust hotspot maps of crime geographic information science. pp. 35- 49 ,(2002) , 10.1201/B12606-10
Peter Haggett, Geography: A Global Synthesis ,(2001)
Christopher M. Gold, The Meaning of ``Neighbour'' advances in geographic information systems. pp. 220- 235 ,(1992) , 10.1007/3-540-55966-3_13
David J. Unwin, David O'Sullivan, Geographic Information Analysis ,(2002)
Benoı̂t Flahaut, Michel Mouchart, Ernesto San Martin, Isabelle Thomas, The local spatial autocorrelation and the kernel method for identifying black zones Accident Analysis & Prevention. ,vol. 35, pp. 991- 1004 ,(2003) , 10.1016/S0001-4575(02)00107-0
Sarah Elwood, Michael F. Goodchild, Daniel Z. Sui, Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice Annals of The Association of American Geographers. ,vol. 102, pp. 571- 590 ,(2012) , 10.1080/00045608.2011.595657
Ikuho Yamada, Jean-Claude Thill, Comparison of planar and network K-functions in traffic accident analysis Journal of Transport Geography. ,vol. 12, pp. 149- 158 ,(2004) , 10.1016/J.JTRANGEO.2003.10.006
Tinghua Ai, Wenhao Yu, Yakun He, Generation of constrained network Voronoi diagram using linear tessellation and expansion method Computers, Environment and Urban Systems. ,vol. 51, pp. 83- 96 ,(2015) , 10.1016/J.COMPENVURBSYS.2015.02.001