Dabanlı, İsmailŞen, Zekai10.07.20192019-07-1010.07.20192019-07-102018Dabanlı, İ. ve Şen, Z. (2018). Classical and innovative-Şen trend assessment under climate change perspective. International Journal of Global Warming, 15(1), 19-37. https://dx.doi.org/10.1504/IJGW.2018.0919511758-2083https://hdl.handle.net/20.500.12511/1226https://dx.doi.org/10.1504/IJGW.2018.091951The main purpose of this paper is to provide a comparison between the innovative-Şen and classical trend methods. Additionally, significance levels at ±5% and ±10% levels are suggested for the first time on the innovative-Şen trend template, which works with the categorisation of given data into a set of classes such as 'low', 'medium' and 'high' values. However, the classical approaches consider holistic monotonic trend identification without categorisation. Classical trend analyses methods, Mann-Kendall trend test coupled with, Şen's slope and the classical regression line, are based on a set of restrictive assumptions, but the innovative-Şen approach does not have assumptions. Application of classical methods do not present significant trend component, however, the innovative-Şen trend method provides possible trend components in each cluster within the significance limits. Although the classical approaches do not indicate a significant trend, but innovative-Şen approach provides some categorically significant trends in detail and quantitative information.eninfo:eu-repo/semantics/closedAccessAkarcayCategoryClimate ChangeInnovative-ŞenSignificanceTrendArticle151193710.1504/IJGW.2018.091951Q4Q3