摘要
通过收集淘宝网络店铺中的中国年画店铺基本信息,基于地级市空间统计单元,运用探索性空间数据分析理论中的全局自相关、局部自相关和热区分析等方法,对中国年画网络店铺区位的演化特征进行定量分析与挖掘。研究结果表明:1)中国年画网络店铺的区位演化整体上具有显著的空间自相关性,空间聚集特征明显;2)店铺区位局部差异明显,京、津、冀、鲁等省市构成了店铺区位选择的区域中心,并对周边城市产生辐射;3)店铺区位选择的热区从呈斑块状、阶梯状地域分布,逐渐演化为京、津、冀、鲁等稳定连片热区;4)总结了影响年画网络店铺区位选择的3个主要因素:区域经济因素、传统文化因素和消费者个性化需求因素。
On the basis of the spatial statistical units of the prefecture-level cities, using some analysis methods such as Global autocorrelation, Local autocorrelation and Hot spot analysis of ESDA（exploratory spatial data analysis）, this paper makes a quantitative analysis of the location evolution characteristics of E-shops of Chinese New Year pictures.The result shows that：1）The location evolution of E-shops of Chinese New Year pictures exists significant spatial autocorrelation as a whole and shows obvious characteristics of spatial aggregation. 2）The shops’ locations have distinctive local differences. Beijing, Tianjin, Hebei and Shandong constitute the regional centers of the shops’ location selection, and give radiation to the surrounding cites. 3）The hotspots of shops’ location selection are gradually evolved from a lump geographical distribution into a stable and continuous hot region including Beijing, Tianjin, Hebei, and Shandong. 4）There are three influencing factors about the new year picture shops’ location selection including the regional economic factors, the traditional culture factors and the personalized consumer demand factors.
出处
《热带地理》
北大核心
2012年第6期626-632,共7页
Tropical Geography
基金
国家自然科学基金项目(40971089)
河北省高校重点学科建设项目
