摘要
随着人们生活水平的提高,旅游总收入占东北各省市GDP总量的比例逐年升高。为了更好地了解东北旅游资源,发展东北旅游业,本文利用从旅游网站爬取的景点和评论数据,综合运用核密度分析、莫兰指数、热点分析、词云分析和文本情感分析等多种方法对东北三省的旅游资源分布进行了分析,以便为东北三省之间旅游产业的发展提供科学依据。
With the improvement of people's living standards,the proportion of total tourism revenue in the total GDP of Northeast provinces and cities is increasing year by year.In order to better understand Northeast tourism resources and develop Northeast tourism,this paper base on tourist attraction and comment data comprehensively use various methods such as kernel density analysis,Moran index,hot spot analysis,word cloud analysis and sentiment analysis to analyze the distribution of tourism resources in the three northeastern provinces,in order to provide scientific basis for the development of tourism industry among the three northeastern prov-inces.
作者
杜平
DU Ping(Liaoning Provincial Natural Resources Affairs Service Center,Jinzhou 121000,China)
出处
《测绘与空间地理信息》
2024年第2期123-125,128,共4页
Geomatics & Spatial Information Technology
关键词
莫兰指数
核密度分析
热点分析
词云分析
文本情感分析
Moran Index
kernel density analysis
hot spot analysis
word cloud analysis
text sentiment analysis