An Examination of Tourist Arrivals Dynamics Using Short-Term Time Series Data: A Space—Time Cluster Approach
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DOI: 10.5367/te.2013.0318
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- Mark Chiang & Boris Mirkin, 2010. "Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads," Journal of Classification, Springer;The Classification Society, vol. 27(1), pages 3-40, March.
- Daria Mendola & Raffaele Scuderi & Valerio Lacagnina, 2013. "Defining and measuring the development of a country over time: a proposal of a new index," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2473-2494, August.
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- Alessandro Magrini, 2022. "Assessment of agricultural sustainability in European Union countries: a group-based multivariate trajectory approach," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(4), pages 673-703, December.
- Enrico Conti & Laura Grassini & Catia Monicolini, 2020. "Tourism competitiveness of Italian municipalities," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1745-1767, December.
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Keywords
cluster analysis; short time series; spline interpolation; K-means; join count test; Italian tourist areas;All these keywords.
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