基于景观大数据的游客时空行为研究进展
Research Progress on Spatio-Temporal Behavior of Tourists Based on Landscape Big Data
马思琦 1燕亚飞1
作者信息
- 1. 河南科技大学 园艺与植物保护学院,河南 洛阳 471000
- 折叠
摘要
信息和计算机科学技术的快速发展改变了以往游客时空行为相关理论的研究方式.游客在旅游过程中使用社交APP、定位装置和在线媒体会产生大量的景观时空大数据,为游客时空行为研究提供了更多发展空间.文中系统地介绍景观大数据的获取来源和方法,针对景观大数据处理分析方法进行概括,主要是以ArcGIS核密度、社会网络、图片内容分析法3 种方法为主.从时间和空间角度,对国内外游客时空行为研究进展进行梳理,总结基于景观大数据的游客时空行为研究热点,未来的研究趋势可能为多空间类型、多采集平台、多时空要素同时开展.
Abstract
The rapid development of information and computer science and technology has changed the previous research methods of spatio-temporal behavior of tourists.The use of social Apps,positioning de-vices and online media by tourists in the process of tourism will produce a large amount of landscape spa-tio-temporal big data,which provides more development space for the research of spatio-temporal behav-ior of tourists.This paper systematically introduced the sources and methods of obtaining landscape big da-ta,summarized the processing and analysis methods of landscape big data,mainly including ArcGIS kernel density,social network and image content analysis.From the perspective of time and space,this paper re-viewed the research progress on spatio-temporal behavior of tourists at home and abroad,summarized the hot topics of research based on landscape big data,and suggested that future research trends may involve multiple spatial types,multiple collection platforms,and multiple spatio-temporal elements simultaneously.
关键词
景观大数据/游客时空行为/ArcGIS核密度分析法/社会网络分析法/图片内容分析法Key words
landscape big data/spatio-temporal behavior of tourists/ArcGIS kernel density analysis method/social network analysis method/image content analysis method引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据