METHODOLOGICAL APPROACHES IN ANALYZING THE STRENGTH OF SEASONALITY IN TOURISM TIME SERIES
Abstract
This paper investigates methodological strategies for analyzing seasonality in tourism time series, employing advanced methods such as Seasonal-Trend decomposition using Loess (STL), the GINI index, seasonality index and other methods. Through those approaches, researchers can unravel complex temporal patterns in tourism time series data. STL decomposition can be applied to time series data, revealing trend, seasonal, and residual components. The GINI index measures distributional inequality of tourism activity across seasons, while the seasonality index quantifies the intensity of fluctuations between quarters or months of high and low season.
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Copyright (c) 2024 Marius Ionuț Gordan, Tabita Cornelia Adamov, Ioana Anda Milin, Anka Roxana Pascariu, Tiberiu Iancu
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LUCRĂRI ȘTIINȚIFICE MANAGEMENT AGRICOL
ISSN print 1453-1410
ISSN online 2069-2307
(former ISSN 1453-1410, E-ISSN 2069-2307)
PUBLISHER: AGROPRINT Timisoara, Romania
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PUBLICATION LANGUAGE: English
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Banat`s University of Agricultural Sciences and Veterinary Medicine “King Michael I of Romania” from Timisoara
Faculty of Management and Rural Tourism
300645, Timisoara, Calea Aradului 119, Romania
E-mail: tabitaadamov2003 [at] yahoo.com
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