Research Progress on Spatio-Temporal Behavior of Tourists Based on Landscape Big Data
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.
landscape big dataspatio-temporal behavior of touristsArcGIS kernel density analysis methodsocial network analysis methodimage content analysis method
NETL
NSTL
万方数据
维普
