基于统计软件SPSS13.0,采用多指标综合评价的主成分分析法,对中国大陆31个省、市、区旅游综合竞争力进行了综合评价；在GeoDA,Arcview等空间统计分析软件的支持下,利用ESDA全局和局部空间自相关理论,探测了省域旅游综合竞争力空间自相关和空间异质性.结果表明:各省市旅游综合竞争力的空间分布表现出相似的观测值趋于空间集聚；较强旅游综合竞争力的邻接省域趋于空间聚集,并主要集中在以上海为核心的长江三角洲地区及东部沿海地区；旅游综合竞争力较弱的邻接省域则主要集中在西北内陆省区；四川省是一个旅游综合竞争力显著高值被低值包围的区域.%It was evaluated the tourism competitiveness of 31 provinces in China and ranked every province in this competition. By means of global and local spatial autocorrelation analyses, it was firstly explored the spatial association and disparities of provincial tourism competition power, with the support of GeoDA and ArcGIS software. It was revealed significant spatial association and clusters, strong tourism competition provinces tend to cluster, and concentrated in Shanghai as the core of the Yangtze delta and eastern coastal areas; the weak tourism competition provinces mainly concentrated in the inland of Northwest; Sichuan was significantly high values surrounded by low provinces.
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