Spatial distribution pattern of the customer count and satisfaction of commercial facilities based on social network review data in Beijing, China
Tài liệu tham khảo
Ai, 2015, Generation of constrained network Voronoi diagram using linear tessellation and expansion method, Computers, Environment and Urban Systems, 51, 83, 10.1016/j.compenvurbsys.2015.02.001
Bíl, 2013, Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation, Accident; Analysis and Prevention, 55, 265, 10.1016/j.aap.2013.03.003
Borruso, 2008, Network density estimation: A GIS approach for analysing point patterns in a network space, Transactions in GIS, 12, 377, 10.1111/j.1467-9671.2008.01107.x
Diggle, 2003
Garrocho-Rangel, 2013, Calculating intraurban agglomeration of economic units with planar and network K-functions: A comparative analysis, Urban Geography, 34, 261, 10.1080/02723638.2013.778655
Lamb, 2016, The network K-function in context: Examining the effects of network structure on the network K-function, Transactions in GIS, 20, 448, 10.1111/tgis.12157
Li, 2011, Dynamic accessibility mapping using floating car data: A network-constrained density estimation approach, Journal of Transport Geography, 19, 379, 10.1016/j.jtrangeo.2010.07.003
Lu, 2007, On the false alarm of planar K -function when analyzing urban crime distributed along streets, Social Science Research, 36, 611, 10.1016/j.ssresearch.2006.05.003
Mahrsi, 2013, Graph-based approaches to clustering network-constrained trajectory data, Computer Science, 7765, 124
Nie, 2015, A network-constrained integrated method for detecting spatial cluster and risk location of traffic crash: A case study from Wuhan, China, Sustainability, 7, 2662, 10.3390/su7032662
Okabe, 2001, The K‐Function method on a network and its computational implementation, Geographical Analysis, 33, 271, 10.1111/j.1538-4632.2001.tb00448.x
Okabe, 2007, Generalized network Voronoi diagrams: Concepts, computational methods, and applications, International Journal of Geographical Information Science, 22, 965, 10.1080/13658810701587891
Okabe, 2009, A kernel density estimation method for networks, its computational method and a GIS-based tool, International Journal of Geographical Information Science, 23, 7, 10.1080/13658810802475491
Okabe, 2012
Porta, 2009, Street centrality and densities of retail and services in bologna, Italy, Environment and Planning. B, Planning & Design, 36, 450, 10.1068/b34098
Porter, 2012, Evaluating temporally weighted kernel density methods for predicting the next event location in a series, Annals of GIS, 18, 225, 10.1080/19475683.2012.691904
Roig-Tierno, 2013, The retail site location decision process using GIS and the analytical hierarchy process, Applied Geography, 40, 191, 10.1016/j.apgeog.2013.03.005
Rui, 2016, A comparative analysis of the distributions of KFC and McDonald's outlets in China, ISPRS International Journal of Geo-Information, 5, 27, 10.3390/ijgi5030027
Rui, 2015, Network-constrained and category-based point pattern analysis for Suguo retail stores in Nanjing, China, International Journal of Geographical Information Science, 1
She, 2015, Weighted network Voronoi diagrams for local spatial analysis, Computers, Environment and Urban Systems, 52, 70, 10.1016/j.compenvurbsys.2015.03.005
Steenberghen, 2004, Intra-urban location and clustering of road accidents using GIS: A Belgian example, International Journal of Geographical Information Science, 18, 169, 10.1080/13658810310001629619
Suárez-Vega, 2010
Tan, 2012, Power network Voronoi diagram and dynamic construction, Journal of Networks, 7, 10.4304/jnw.7.4.675-682
Tang, 2015, A network kernel density estimation for linear features in space–time analysis of big trace data, International Journal of Geographical Information Science, 1
Wu, 2014, Taylor's law and the spatial distribution of urban facilities
Xie, 2008, Kernel density estimation of traffic accidents in a network space, Computers, Environment and Urban Systems, 32, 396, 10.1016/j.compenvurbsys.2008.05.001
Xu, 2011, The K-function analysis of space-time point pattern on road network. geoinformatics
Yamada, 2007, Local indicators of network-constrained clusters in spatial point patterns, Geographical Analysis, 39, 268, 10.1111/j.1538-4632.2007.00704.x
Yamada, 2004, Comparison of planar and network K-functions in traffic accident analysis, Journal of Transport Geography, 12, 149, 10.1016/j.jtrangeo.2003.10.006
Yu, 2015, The analysis and delimitation of central Business District using network kernel density estimation, Journal of Transport Geography, 45, 32, 10.1016/j.jtrangeo.2015.04.008