摘要
为了科学发现A级旅游景点的空间格局演化特征,选取甘肃省2007年、2009年、2011年、2013年、2015年、2017年A级旅游景点为研究样本,基于GIS空间分析工具,运用地统计方法综合分析甘肃省A级景点空间分布特征及影响因素。结果表明:①2007~2017年甘肃省A级景点以4A、3A级景点为主,数量上形成"中间大,两头小"的纺锤体结构,空间上呈现由极核区域向周围不断扩展的集聚态势。②A级景点空间重心有由北向南偏移的特征,且偏移距离呈先增大后减小的趋势。③资源禀赋、地形地貌等内在因素和社会经济、区位交通等外在因素共同影响甘肃省A级旅游景点的空间分布。研究成果对揭示甘肃省优质旅游景点空间结构、优化旅游景点空间格局有一定参考意义。
In order to discover the spatial pattern evolution characteristics of A-grade tourist attractions,based on GIS spatial analysis tools and geostatistical methods,this paper selects the data of A-grade tourist attractions in 2007,2009,2011,2013,2015 and 2017 to study the spatial distribution characteristics and its influencing factors of A-grade tourist attractions in Gansu province.The main results are as follows:① In 2007~2017,4A and 3A-grade spots are the main tourist attractions,which formed a "large middle,small sides" fusiform structure,and the space showed a gathering trend from the polar core area to the surrounding area.② The distribution center of the A-grade spots in Gansu province migrates from the north to the south,and the offset distance increases first and then decreases.③ Endogenous factors such as resource endowment,topography and landforms,as well as external factors such as socio-economic and location traffic,affect the spatial distribution of A-grade tourist attractions.The research results have certain significance for revealing the spatial structure of high-quality tourist attractions in Gansu Province and optimizing the spatial pattern of tourist attractions.
作者
申如如
闫浩文
孙钦珂
SHEN Ruru;YAN Haowen;SUN Qinke(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070,China;National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China)
出处
《地理信息世界》
2019年第6期104-109,共6页
Geomatics World
基金
国家自然科学基金项目(41671447)
国家重点研发计划(2017YFB0504203)
兰州交通大学优秀平台支持(201806)资助
关键词
A级旅游景点
空间分布
影响因素
甘肃省
A-grade tourist attractions
spatial distribution
influencing factors
Gansu province