GIS-Aided Evolvement Analysis of Spatial-Temporal Pattern of Regional Tourism Industry Environment

Abstract:

Regional tourism is a part of China's economic income. It is of great significance for tourism economy development to study spatial-temporal evolvement. This study analyzed time-based characteristics and spatial cluster characteristics through methods including Spatial Weight Matrix, global spatial autocorrelation (Morans I) statistic, spatial Statistics (Getis-Ord Gi*) and local spatial autocorrelation calculations. Results show that the overall spatial autocorrelation model changed slowly from negative (-0.05) to positive (0.08) while eastern part of study area clustered as hotspot and western part clustered as coldspot. It can be concluded that the spatial distribution pattern of the tourism economy in study area from 2002 to 2007 was increasingly clustered and the tourism development of each units in study area will be much more spatially inter-dependent.

• Periodical: Advanced Materials Research (Volumes 726-731)
• Pages: 4690-4693
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.726-731.4690
• Online since: August 2013
• Authors: Hong Yang, Xiao Ya Dong, Min Wang, Yu Guo
• Keywords: Cluster, Spatial Autocorrelation, Tourism Industry

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