DocumentCode :
2709082
Title :
Spatial differential features of inbound tourists in Jiangsu, China
Author :
Lu, Shaojing ; Zhang, Jie ; Zhang, Honglei
Author_Institution :
Dept. of Land Resources & Tourism Sci., Nanjing Univ., Nanjing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
The spatial differential features of tourists are the fundamental of tourism spatial structure research. Though many literatures on this issue have offered some efficient approaches, spatial view has not been paid sufficient attention to in the statistical model for spatial correlation. To explore the variation and mechanism of tourist spatial difference, exploratory spatial data analysis (ESDA) has been employed, taking the data of inbound tourist arrivals of all the cities in Jiangsu province from 2001 to 2009. Box-Cox transform has been taken to normalizing the data before ESDA. The Global and Local spatial autocorrelation analysis has been employed to examine the spatial aggregation characteristics and measure tourist distribution differences and significance between cities. Detailed discussions are then made referring to the spatial aggregation and diffusion effect. Finally, the conclusions are obtained.
Keywords :
geographic information systems; statistical analysis; transforms; travel industry; Box-Cox transform; GIS; Jiangsu province; exploratory spatial data analysis; global spatial autocorrelation analysis; inbound tourist arrival; local spatial autocorrelation analysis; spatial correlation; spatial differential feature; statistical model; tourism spatial structure research; Aggregates; Cities and towns; Correlation; Economics; Indexes; Transforms; EDSA; GIS; inbound tourist; spatial autocorrelation analysis; spatial difference features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980861
Filename :
5980861
Link To Document :
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