Based on the official data offered by Tourism Bureau, M.O.T.C., Republic of China, monthly visitors with different genders and ages destined to 12 main outbound countries, including Japan, Hong Kong, Macau, Mainland China, Korea, U.S.A, Singapore, Thailand, Philippines, Indonesia, Malaysia, and Vietnam as well, from 2003 to 2012 have been collected and analysed to demonstrate and explore the static and dynamic patterns behind these historical records.Statistical procedures including correlation analysis, K-Means clustering, MANOVA analysis, and multidimensional scaling, or MDS for short, were respectively adopted to discover the correlative relation among each different spatiotemporal market, classify and cluster each outbound market into a suitable cluster based on their similarity, testify the hypotheses of heterogeneous cluster centers, and down-level the spatial complexity from high-dimension to 2-dimension in order to better interpret the patterns revealed behind the original space.
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