Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye

Yusuf Kurt; İlker Çinbilgel

doi:10.53433/yyufbed.1357339

EN TR

Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye

Öz

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.

Anahtar Kelimeler

Diversity indices, Plant ecology, R software, Vegan package

Teşekkür

We would like to thank researchers of studied floristic sites and contributions of different R package developers.

Flora ve Vejetasyon Verilerinin R Yazılım Paketleri ile Analizi: Türkiye’nin Güneyinden Bir Örnek Çalışma

Öz

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. UPGMA (Aritmetik Ortalamaları Kullanan Ağırlıksız Çift-Grup Yöntemi) yöntemlerinin benzerlik ve farklılık dendrogramları ile ısı haritaları iki farklı ana grubun olduğunu gösterdi. Floristik alanlardan elde edilen küme dendrogramları ve ısı haritaları, flora ve vejetasyon çalışmalarında alanların kolay karşılaştırılmasını ve nicel farklılaşmasını ortaya koyar. R paketleri diğer birçok disiplinde olduğu gibi flora ve ekoloji alanlarında da ücretsiz olarak yayın kalitesinde grafiklerle verileri analiz etmek, yönetmek ve manipüle etmek için kullanılmaktadır.

Anahtar Kelimeler

Bitki ekolojisi, Çeşitlilik indeksleri, R yazılım ortamı, Vegan paketi

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Ekoloji (Diğer), Bitki ve Mantar Sistematiği ve Taksonomi

Bölüm

Araştırma Makalesi

Yazarlar

Yusuf Kurt
0000-0003-3550-1115
Türkiye

İlker Çinbilgel ^*
0000-0003-3084-5998
Türkiye

Yayımlanma Tarihi

29 Nisan 2025

Gönderilme Tarihi

8 Eylül 2023

Kabul Tarihi

17 Ocak 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 30 Sayı: 1

DOI

https://doi.org/10.53433/yyufbed.1357339

IZ

https://izlik.org/JA28CL23RG

APA

Kurt, Y., & Çinbilgel, İ. (2025). Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 30(1), 13-25. https://doi.org/10.53433/yyufbed.1357339

AMA

1.Kurt Y, Çinbilgel İ. Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye. YYUFBED. 2025;30(1):13-25. doi:10.53433/yyufbed.1357339

Chicago

Kurt, Yusuf, ve İlker Çinbilgel. 2025. “Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye”. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 30 (1): 13-25. https://doi.org/10.53433/yyufbed.1357339.

EndNote

Kurt Y, Çinbilgel İ (01 Nisan 2025) Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 30 1 13–25.

IEEE

[1]Y. Kurt ve İ. Çinbilgel, “Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye”, YYUFBED, c. 30, sy 1, ss. 13–25, Nis. 2025, doi: 10.53433/yyufbed.1357339.

ISNAD

Kurt, Yusuf - Çinbilgel, İlker. “Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye”. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 30/1 (01 Nisan 2025): 13-25. https://doi.org/10.53433/yyufbed.1357339.

JAMA

1.Kurt Y, Çinbilgel İ. Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye. YYUFBED. 2025;30:13–25.

MLA

Kurt, Yusuf, ve İlker Çinbilgel. “Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye”. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 30, sy 1, Nisan 2025, ss. 13-25, doi:10.53433/yyufbed.1357339.

Vancouver

1.Yusuf Kurt, İlker Çinbilgel. Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye. YYUFBED. 01 Nisan 2025;30(1):13-25. doi:10.53433/yyufbed.1357339

Analysis of Flora and Vegetation Data by R Software Packages: A Case Study from Southern Türkiye

Öz

Anahtar Kelimeler

Teşekkür

Flora ve Vejetasyon Verilerinin R Yazılım Paketleri ile Analizi: Türkiye’nin Güneyinden Bir Örnek Çalışma

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