Spatial Analysis of Climatic Data for Four Coastal Stations Using Statistical Methods During the Period 1979–2018 (A Comparative Study)

Authors

  • Mosa Khalil Saeid Department of Geography, Faculty of Arts, Al-Asmariya Islamic University, Zliten, Libya

Keywords:

Climatic elements, statistical significance, arithmetic mean, standard deviation, one-way analysis (ANOVA)

Abstract

This study aims to analyze the spatial variation of climatic elements at four coastal stations—Sirte, Misrata, Tripoli, and Zuwara—during the period 1979–2018, and to identify statistically significant differences among them using statistical methods including the arithmetic mean, standard deviation, and one-way analysis of variance (ANOVA). The importance of this study lies in its focus on an essential aspect of geographical research, namely the analysis of climatic elements, and in its contribution to the existing body of scientific knowledge in this field. The results of the analysis and discussion of the climatic elements indicate that there are no statistically significant differences among the study area stations in terms of solar radiation, temperature, rainfall, and evaporation rates. However, statistically significant differences were found in wind and humidity levels at a significance level of less than 0.05.

Dimensions

Published

2025-12-03

How to Cite

د. موسى خليل سعيد. (2025). Spatial Analysis of Climatic Data for Four Coastal Stations Using Statistical Methods During the Period 1979–2018 (A Comparative Study). African Journal of Advanced Studies in Humanities and Social Sciences (AJASHSS), 4(4), 1017–1028. Retrieved from https://aaasjournals.com/index.php/ajashss/article/view/1712

Issue

Section

Articles