Huang Huang, S. Khalid, Jianhua Ni, Dingtao Shen, Jinyin Wang
{"title":"中国大陆单体网吧空间分布模式分析","authors":"Huang Huang, S. Khalid, Jianhua Ni, Dingtao Shen, Jinyin Wang","doi":"10.1109/GEOINFORMATICS.2015.7378571","DOIUrl":null,"url":null,"abstract":"The paper, mainly based on spatial data of monomer Internet bar in China's mainland, found support from technologies of GIS's strong spatial data analysis and probed into the spatial distribution rules of Internet bars in China's mainland, particularly in major cities and provinces in the East, Middle and West or those in national, provincial and city scale. The paper was focused on studies of two aspects: 1. To describe the overall characteristics of Internet bars distributed in mainland, typically in model cities and provinces; 2. To make quantitative analysis on spatial distribution model and on concentration features of Internet bars all over the country by using two spatial modeling analysis methods: method of the nearest neighbor index and Repley's K function.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis on spatial distribution model of monomer Internet bars in China's mainland\",\"authors\":\"Huang Huang, S. Khalid, Jianhua Ni, Dingtao Shen, Jinyin Wang\",\"doi\":\"10.1109/GEOINFORMATICS.2015.7378571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper, mainly based on spatial data of monomer Internet bar in China's mainland, found support from technologies of GIS's strong spatial data analysis and probed into the spatial distribution rules of Internet bars in China's mainland, particularly in major cities and provinces in the East, Middle and West or those in national, provincial and city scale. The paper was focused on studies of two aspects: 1. To describe the overall characteristics of Internet bars distributed in mainland, typically in model cities and provinces; 2. To make quantitative analysis on spatial distribution model and on concentration features of Internet bars all over the country by using two spatial modeling analysis methods: method of the nearest neighbor index and Repley's K function.\",\"PeriodicalId\":371399,\"journal\":{\"name\":\"2015 23rd International Conference on Geoinformatics\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 23rd International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GEOINFORMATICS.2015.7378571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on spatial distribution model of monomer Internet bars in China's mainland
The paper, mainly based on spatial data of monomer Internet bar in China's mainland, found support from technologies of GIS's strong spatial data analysis and probed into the spatial distribution rules of Internet bars in China's mainland, particularly in major cities and provinces in the East, Middle and West or those in national, provincial and city scale. The paper was focused on studies of two aspects: 1. To describe the overall characteristics of Internet bars distributed in mainland, typically in model cities and provinces; 2. To make quantitative analysis on spatial distribution model and on concentration features of Internet bars all over the country by using two spatial modeling analysis methods: method of the nearest neighbor index and Repley's K function.