摘要
文章选取2012年江苏省13辖市的旅游相关数据,运用GIS技术结合探索性空间数据分析方法(ESDA),分析江苏省13辖市的旅游空间关联程度。结果显示:13辖市大多数集中在以第1象限为代表的高值-高值集聚区和以第3象限为代表的低值-低值集聚区,表明江苏省区域旅游经济发展存在较大差异,旅游经济空间格局显著,空间关联性较强。据此,将江苏省的13个辖市分为H-H型、L-H型、L-L型、H-L型等4种类型,并就每一类型城市的旅游发展提出相关建议。
The paper selects tourism related data of 13 cities in Jiangsti province in 2012 and analyzes the tourism spatial correlation degree among them by combining GIS technology with ESDA. Results show that most of the 13 cities focus on the first quadrant of the high - high value concentrated area and the third quadrant of low -low value concentrated area. This shows that there are large differences in the regional tourism economic development of Jiangsu province, and the spatial pattern of tourism economy in Jiangsu province has a strong spatial correlation. Accordingly, 13 cities of Jiangsu province can be divided into four types, that is, high - high, low - high, low - low, high - low. The paper puts forward some related suggestions for each type of cities＇ tourism development.
出处
《旅游研究》
2015年第2期52-57,共6页
Tourism Research
基金
国家自然科学基金青年项目:地方精神意象感知模式及时空分异特征研究:以城市旅游地为例(批准号:41301145)
