Climatic regionalization of Montenegro by applying different methods of cluster analysis

IF 1.2 Q3 GEOGRAPHY
D. Burić, J. Mihajlović, V. Ducić
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引用次数: 0

Abstract

To carry out an "objective" regionalization of the climate of Montenegro for the period 1961-2020, this paper used cluster analysis, which is a multivariate technique that classifies a sample of subjects (objects) based on a set of variables into a single number. Based on the results (score), several groups were separated, and similar classes (groups) were grouped into the same cluster. Annual data for mean temperature and total precipitation from 18 meteorological stations were utilized. Temperature and precipitation cluster regions were separated using three different hierarchical agglomerative methods (Unweighted Pair Group Method with Arithmetic Mean (UPGMA), Single linkage, and Ward's) and one non-hierarchical method (K-means). The Euclidean distance was used as a measure of distance for hierarchical methods, and the results were represented graphically in the form of dendrograms and thematic maps. The obtained results indicate that the singled-out temperature and precipitation cluster regions largely coincide with the established climate types in Montenegro. The cluster results further showed that the distribution of meteorological stations clearly reflects the largest part of the climatic diversity of Montenegro and indicates the spatial dimension of temperature and precipitation.
运用不同的聚类分析方法进行黑山的气候区划
为了对1961-2020年期间黑山的气候进行“客观”区划,本文使用了聚类分析,这是一种基于一组变量将主体(对象)样本分类为单个数字的多变量技术。根据结果(得分)将若干组分开,将相似的类(组)归为同一聚类。利用了18个气象站的年平均气温和总降水资料。采用三种不同的分层聚类方法(UPGMA、Single linkage和Ward’s)和一种非分层聚类方法(K-means)分离温度和降水聚类区域。用欧几里得距离作为分层方法的距离度量,结果以树状图和专题图的形式图形化表示。所得结果表明,单列的温度和降水簇区与黑山已建立的气候类型基本一致。聚类结果进一步表明,气象站分布清晰地反映了黑山气候多样性的最大部分,并指示了温度和降水的空间维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
11.10%
发文量
8
审稿时长
4 weeks
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