| Internet industry is one of the fastest growing industries in the 21st century, its emergence and rapid development has changed the world of human behavior and habits. As an important product in the rise and development of the Internet industry, Internet cafes promote and facilitate the spread of information technology and Internet awareness in people for a specific time period. China is a developing country, the Internet in mainland China rises in just 20 years, the Internet industry has already experienced a steady decline from the rapid expansion of the stage, currently, China’s Internet industry is increasingly towards the development road of standardization and services deeper. By the end of 2012, China has nearly 150,000 single cafes, cafes distributed throughout the various regions of the continent’s cities, towns and villages. Of Internet cafes data in China’s space distribution for the study, the integrated use of GIS spatial data analysis techniques, to explore the Internet industry of spatial distribution patterns and associated characteristics at different spatial scales of distance, is not only to a better understanding of the Internet industry in China’s space distribution, revealing geopolitical, geographical distribution and other factors caused them to grasp its genesis and development of the law in the direction of the macro layout, but also to learn from the side of the Internet industry and even the level of socio-economic development in different regions of China.For the whole single Internet cafes in China (incomplete statistics) spatial location data as the basis, a powerful GIS spatial data analysis (SDA) technology as a support, focusing on the provinces, municipalities and county scales and typical Midwest and the East provinces, cities, the main work of this paper is to explore the spatial distribution of the Internet cafes in mainland China, and reveals its inherent characteristics of spatial association. This paper mainly research from the following three aspects:1. In the national scope and typical mainland provinces, cities for the study area, describing the general characteristics of the distribution of Internet cafes in China. Mainly include:research historical background and survival status of the development of the Internet cafes industry with Chinese characteristics; statistical analysis the cafes’ number and the spatial distribution characteristics of the various provinces and the capital cities, study geographical characteristics and agglomeration characteristics of the cafes’ spatial distribution, with spatial analysis methods including data graphic displaying, hotspot mapping, GIS grid computing, etc.; for the typical provinces and cities in three zones (namely, Jiangsu and Nanjing, Hubei and Wuhan, Gansu and Lanzhou) as key research areas, for the ground-level cities and county-level cities as the secondary administrative units, statistics the distribution number of Internet cafes in provinces and cities, meanwhile, map-making with kernel density estimation method, to describe the spatial distribution characterization and comparison analyze of small-scale.2. Using two spatial pattern analysis methods including nearest neighbor index, Ripley’s K function, quantitative analysis the spatial distribution patterns and cluster features of Internet cafes across the country in different spatial scales. Mainly include: calculated obtain nearest neighbor index (R statistic) and high order (50 bands) R value curve of the cafes’ spatial distribution in national and six typical provinces(cities) under high degree of confidence, and use the Monte Carlo simulation method to test result, gives a conclusion:distribution patterns of Internet cafes in different study area ranges are cluster, and in-depth comparative analysis the calculated results and curves, to explore the significant change of cafes’cluster distribution characteristics, caused by changes in the order and regional differences; calculated obtain the L(d) values curve of Ripley’s K function of the cafes’spatial distribution in national and six typical provinces(cities) and the results are given confidence level, compare the results with the random distribution curves generated by Monte Carlo simulation method, and also gives a conclusion:distribution patterns of Internet cafes under different distance scales are cluster; combined with the results of two methods, comprehensive analysis and excavate the deep-seated spatial distribution characteristics and the differences in eastern and western regions of the Internet cafes nationwide.3. Use of exploratory spatial data analysis (ESDA) technology, introducing the spatial autocorrelation analysis method, further research and explore cafes’ cluster distribution in mainland China, dig out their inherent characteristics of spatial association, and auxiliary explain the main cause of differences in the spatial pattern of Internet cafes from the angle of space associating. Mainly include:for the ground-level cities and county-level cities as the administrative units, statistic the number of Internet cafes distributed in various administrative units, and on the basis of space weight matrix created by K-nearest neighbor standard (take K=6), calculate global Moran’s I statistic and local Moran’s I statistic, the results show cafes’ spatial distribution in cities and county levels both apeared a significant spatial positive correlation, analysis the abnormal regions showing different space association characteristics; use Getis-Ord Gi statistic values for hot spot analysis the Internet cafes’ distribution, gives a high-low concentration area division results in the city and county levels.In summary, this paper studied the spatial distribution and the spatial association characteristics of the single cafes in mainland China, is an useful attempt for the systematic study methods on the research of the spatial distribution based on induction and exploration. In addition, we integrated use of GIS spatial analysis techniques and methods, carrying out a quantitative and qualitative, combining graphics and data research ideas, the main results of the analysis presented in the form of thematic maps in order to make the results more intuitive, figurative and persuasive expression, for future research related to the spatial distribution also has a certain significance. |
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