TY - JOUR T1 - Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye TT - Flora ve Vejetasyon Verilerinin R Yazılım Paketleri ile Analizi: Türkiye’nin Güneyinden Bir Örnek Çalışma AU - Çinbilgel, İlker AU - Kurt, Yusuf PY - 2025 DA - April DO - 10.53433/yyufbed.1357339 JF - Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi JO - YYUFBED PB - Van Yüzüncü Yıl Üniversitesi WT - DergiPark SN - 1300-5413 SP - 13 EP - 25 VL - 30 IS - 1 LA - en AB - Similarity and dissimilarity indices have been used to statistically compare flora and vegetation research. R software environment is one of the current and popular approaches to doing statistical analysis and graphical visualizations in ecology and many other disciplines. In the study, floristic studies of eight areas in southern Türkiye were compared by beta diversity indices, and some R packages for numerical ecology and taxonomic applications are mentioned and discussed for more detailed analysis. A unified taxa list was compiled based on all the taxa that are detected in compared areas and then a presence/absence data were prepared. Beta diversity indices were calculated to compare the eight floristic fields. Similarity and dissimilarity dendrograms and heatmaps of UPGMA (Unweighted Pair-Group Method using arithmetic Averages) methods were shown in two different main groups. The obtained cluster dendrograms and heat maps of floristic fields allow easy comparison and quantitative differentiation of areas in flora and vegetation studies. The R packages are used to analyze, manage, and manipulate data with publication quality graphics for free in flora and ecology fields like many other disciplines. KW - Diversity indices KW - Plant ecology KW - R software KW - Vegan package N2 - Flora ve vejetasyon araştırmalarını istatistiksel olarak karşılaştırmak için benzerlik ve farklılık indeksleri kullanılmaktadır. R yazılım ortamı, ekoloji ve diğer birçok disiplinde istatistiksel analiz ve grafiksel görselleştirme yapmak için kullanılan güncel ve popüler yaklaşımlardan biridir. Bu çalışmada, Türkiye'nin güneyindeki sekiz alanın floristik çalışmaları beta çeşitlilik indeksleri ile karşılaştırılmış ve numerik ekoloji ve taksonomik çalışmalarda kullanılan bazı R paketlerinden bahsedilmiş ve tartışılmıştır. Karşılaştırılan alanlarda tespit edilen tüm taksonlar baz alınarak birleşik takson listesi oluşturulmuş ve var/yok verileri hazırlanmıştır. Sekiz floristik alanı karşılaştırmak için beta çeşitlilik indeksleri hesaplandı. 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