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

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

Teşekkür

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

Kaynakça

Alçıtepe, E. (1998). Termessos Milli Parkı (Antalya) florası üzerinde bir araştırma [Yükseklisans tezi, Akdeniz Üniversitesi]. Yök Tez Merkezi.
Aldhebiani, A. Y. & Howladar, S. M. (2013). Floristic diversity and environmental relations in two valleys, south west Saudi Arabia. International Journal of Science and Research, 4(2), 1916-1925.
Allaire, J.J., Xie, Y., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., … & Iannone, R. (2019). rmarkdown: Dynamic Documents for R. R package version 2.0. https://cran.r-project.org/web/packages/rmarkdown/index.html
Alvarez, M., & Luebert, F. (2018). The taxlist package: managing plant taxonomic lists in R. Biodiversity Data Journal, 6, e23635. https://doi.org/10.3897/BDJ.6.e23635
Alvarez, M. (2020). vegtable: Handling Vegetation Data Sets. R package version 0.1.5. https://cran.r-project.org/web/packages/vegtable/index.html
Anderson, M. J., Crist, T. O., Chase, J. M., Vellend, M., Inouye, B. D., Freestone, A. L., Sanders, N. J., Cornell, H. V., Comita, L. S., Davies, K. F., Harrison, S. P., Kraft, N. J., Stegen, J. C., & Swenson, N. G. (2011). Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist. Ecology Letters, 14, 19-28. https://doi.org/10.1111/j.1461-0248.2010.01552.x
Arnholt, T. A., & Evans, B. (2017). BSDA: Basic statistics and data analysis. R package version 1.2.0. https://cran.r-project.org/web/packages/BSDA/index.html
Baddeley, A., Turner, R. & Rubak, E. (2020). spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests. R package version 1.63-3. https://cran.r-project.org/web/packages/spatstat/index.html
Barton, K., & Barton, M.K. (2019). MuMIn: Multi-Model Inference. R package version 1.43.15. https://cran.r-project.org/web/packages/MuMIn/index.html
Baselga, A. (2010). Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 19(1), 134-143. https://doi.org/10.1111/j.1466-8238.2009.00490.x

Baselga, A., Orme, D., Villeger, S., De Bortoli, J., Leprieur, F., Logez, M., & Henriques-Silva, R. (2018). betapart: Partitioning Beta Diversity into Turnover and Nestedness Components. R package version 1.5.1. https://cran.r-project.org/web/packages/betapart/index.html
Bates, D., Maechler, M., Bolker, B., Walker, S., Christensen, R.H.B., Singmann, H., Scheipl, F., Grothendieck, G., Green, P., Fox, J., Bauer, A., & Krivitsky, P.N. (2020). lme4: Linear Mixed-Effects Models using ‘Eigen’ and S4. R package version 1.1-23. https://cran.r-project.org/web/packages/lme4/index.html
Bocci, G. (2015). TR8: an R package for easily retrieving plant species traits. Methods in Ecology and Evolution, 6(3), 347-350. https://doi.org/10.1111/2041-210X.12327
Bollmann, S., Cook, D., Dumas, J., Fox, J., Josse, J., Keyes, O., Strobl, C., Turner, H., & Debelak, R. (2017). A first survey on the diversity of the R community. The R Journal, 9(2), 541-552.
Calderon-Patron, J. M., Goyenechea, I., Ortiz-Pulido, R., Castillo-Ceron, J., Manriquez, N., Ramírez-Bautista, A., Rojas-Martínez, A. E., Sánchez-Rojas, G., Zuria, I., & Moreno, C. E. (2016). Beta diversity in a highly heterogeneous area: disentangling species and taxonomic dissimilarity for terrestrial vertebrates. PLoS ONE, 11(8), e0160438. https://doi.org/10.1371/journal.pone.0160438
Carvalho, G. (2017). Flora: Tools for Interacting with the Brazilian Flora 2020. R package version 0.3.0. https://cran.r-project.org/web/packages/flora/index.html
Cayuela, L., Macarro, I., Stein, A. & Oksanen, J. (2019). Taxonstand: Taxonomic Standardization of Plant Species Names. R package version 2.2. https://cran.r-project.org/src/contrib/Archive/Taxonstand/
Chao, A., Chazdon, R. L., Colwell, R. K., & Shen, T. J. (2005). A new statistical approach for assessing similarity of species composition with incidence and abundance data. Ecology Letters, 8(2), 148-159. https://doi.org/10.1111/j.1461-0248.2004.00707.x
Charney, N. & Record, S. (2012). vegetarian: Jost Diversity Measures for Community Data. R package version 1.2. https://cran.r-project.org/src/contrib/Archive/vegetarian/
Cinbilgel, I., & Gokceoglu, M. (2010). Flora of Altınbeşik National Park (İbradı-Akseki, Antalya/Turkey). Biodicon, 3(3), 85-110. https://dergipark.org.tr/en/pub/biodicon/issue/55900/766064
Cipullo, N. (2016). Biodiversity indicators: the accounting point of view. Procedia Economics and Finance, 39, 539-544. https://doi.org/10.1016/S2212-5671(16)30297-0
Conord, C., Gurevitch, J., & Fady, B. (2012). Large-scale longitudinal gradients of genetic diversity: a meta-analysis across six phyla in the Mediterranean basin. Ecology and Evolution, 2(10), 2595-2609. https://doi.org/10.1002/ece3.350
Crawley, M. J. (2013). The R Book (2nd ed.). John Wiley & Sons Ltd.
Dallas, T. & Pulliam, T. (2020). metacom: Analysis of the ‘Elements of Metacommunity Structure’. R package version 1.5.3. https://cran.r-project.org/web/packages/metacom/index.html
Dauby, G. (2019). ConR: Computation of Parameters Used in Preliminary Assessment of Conservation Status. R package version 1.2.4. https://cran.r-project.org/src/contrib/Archive/ConR/
De Cáceres, M. (2019). vegclust: Fuzzy Clustering of Vegetation Data. R package version 1.7. https://cran.r-project.org/web/packages/vegclust/index.html
Demirelma, H. (2006). Derebucak (Konya)–İbradı ve Cevizli (Antalya) arasında kalan bölgenin florası [Doktora tezi, Selçuk Üniversitesi]. Yök Tez Merkezi.
Dray, S., Dufour, A. B. & Thioulouse, J. (2020). ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences. R package version 1.7-15. https://cran.r-project.org/web/packages/ade4/index.html
Duran, A. (2002). Flora of Tuzaklı, Otluk, Gidefi Mountains and surroundings (Akseki). Turkish Journal of Botany, 26, 303-349. https://journals.tubitak.gov.tr/botany/vol26/iss5/4/
Fakir, H. (2006). Flora of Bozburun Mountain and its environs (Antalya-Isparta-Burdur, Turkey). Turkish Journal of Botany, 30, 149-169. https://journals.tubitak.gov.tr/botany/vol30/iss3/1/
Fuka, D.R., Walter, M.T., Archibald, J.A., Steenhuis, T.S. & Easton, Z.M. (2018). EcoHydRology: A Community Modeling Foundation for Eco-Hydrology. R package version 0.4.12.1. https://cran.r-project.org/src/contrib/Archive/EcoHydRology/
Giraudoux, P., Antonietti, J.P., Beale, C., Pleydell, D. & Treglia, M. (2018). pgirmess: Spatial Analysis and Data Mining for Field Ecologists. R package version 1.6.9. https://cran.r-project.org/web/packages/pgirmess/index.html
Goslee, S. & Urban, D. (2020). ecodist: Dissimilarity-based Functions for Ecological Analysis. R package version 2.0.5. https://cran.r-project.org/web/packages/ecodist/index.html
Hennig, C. & Hausdorf, B. (2020). prabclus: Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data. R package version 2.3-2. https://cran.r-project.org/web/packages/prabclus/index.html
Hope, R. M. (2013). Rmisc: Ryan Miscellaneous. R package version 1.5. https://cran.r-project.org/web/packages/Rmisc/index.html
Hyndman, R., Athanasopoulos, G., Bergmeir, C., Caceres, G., Chhay, L., O’Hara-Wild, M., ... & Yasmeen, F. (2020). forecast: Forecasting Functions for Time Series and Linear Models. R package version 8.12. https://cran.r-project.org/web/packages/forecast/index.html
Isik, K., Semiz, G., & Kurt, Y. (2005, Eylül 8-10). Farklı doğal alanların, içerdikleri türler açısından UPGMA kümelendirme yöntemine göre karşılaştırılması. Korunan Doğal Alanlar Sempozyumu, Süleyman Demirel Üniversitesi, Isparta, Türkiye. https://ormanweb.isparta.edu.tr/kdas/
Jansen, F. (2019). vegdata: Access Vegetation Databases and Treat Taxonomy. R package version 0.9.7. https://cran.r-project.org/web/packages/vegdata/index.html
Kahle, D., Wickham, H., Jackson, S. & Korpela, M. (2019). ggmap: Spatial Visualization with ggplot2. R package version 3.0.0. https://cran.r-project.org/web/packages/ggmap/index.html
Karagoz, Y., & Aslan, A. (2012). Floristic lichen records from Kemaliye District (Erzincan) and Van Province. Turkish Journal of Botany, 36(5), 558-565. https://doi.org/10.3906/bot-1101-30
Kindt, R. (2019). BiodiversityR: Package for Community Ecology and Suitability Analysis. R package version 2.11-3. https://cran.r-project.org/web/packages/BiodiversityR/index.html
Kindt, R. (2020). WorldFlora: Standardize Plant Names According to World Flora Online Taxonomic Backbone. R package version 1.5. https://cran.r-project.org/web/packages/WorldFlora/index.html
Koleff, P., Gaston, K. J., & Lennon, J. J. (2003). Measuring beta diversity for presence-absence data. Journal of Animal Ecology, 72(3), 367-382. https://doi.org/10.1046/j.1365-2656.2003.00710.x
Lai, J., Lortie, C. J., Muenchen, R. A., Yang, J., & Ma, K. (2019). Evaluating the popularity of R in ecology. Ecosphere, 10(1), e02567. https://doi.org/10.1002/ecs2.2567
Legendre, P., & Caceres, M. D. (2013). Beta diversity as the variance of community data: dissimilarity coefficients and partitioning. Ecology Letters, 16(8), 951-963. https://doi.org/10.1111/ele.12141
Lortie, C. J., Braun, J., Filazzola, A., & Miguel, F. (2020). A checlist for choosing between R packages in ecology and evolution. Ecology and Evolution, 10(3), 1098-1105. https://doi.org/10.1002/ece3.5970
Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., Hornik, K., Studer, M., ... & Murphy, K. (2019). cluster: Finding Groups in Data. R package version 2.1.0. https://cran.r-project.org/web/packages/cluster/index.html
Marcon, E. & Herault, B. (2020). entropart: Entropy Partitioning to Measure Diversity. R package version 1.6-4. https://cran.r-project.org/web/packages/entropart/index.html
Minka, T. P., & Deckmyn, A. (2018). maps: Draw Geographical Maps. R package version 3.3.0. https://cran.r-project.org/web/packages/maps/index.html
Neuwirth, E. (2014). RColorBrewer: ColorBrewer Palettes. R package version 1.1-2. https://cran.r-project.org/web/packages/RColorBrewer/index.html
Niesenbaum, R. A. (2019). The integration of conservation, biodiversity and sustainability. Sustainability, 11(17), 4676. https://doi.org/10.3390/su11174676
Oksanen, J., Blanchet, F. G., Friendly, M., Kindt, R., Legendre, P., McGlinn, D., ... & Wagner, H. (2019). vegan: Community Ecology Package. R package version 2.5-6. https://cran.r-project.org/web/packages/vegan/index.html
Özçelik, H., & Korkmaz, M. (2002). Contributions to the flora of Sütçüler-Isparta (Türkiye). Bulletin of Pure and Applied Sciences, 21B(1), 1-19.
Özcelik, H., Tanrıverdi, F., Tel, A. Z., & Fakir, H. (2006). Köprülü Kanyon Milli Parkı (Antalya-Isparta) Flora Envanter Çalışması, 3. Raporu (GEF-II Projesi, T.C. Çevre-Orman Bakanlığı, Doğa Koruma ve Milli Parklar Genel Müdürlüğü), Ankara.
Paradis, E., Blomberg, S., Bolker, B., Brown, J., Claude, J., Cuong, H. S., & de Vienne, D. (2019). ape: Analyses of Phylogenetics and Evolution. R package version 5.3. https://cran.r-project.org/web/packages/ape/index.html
Peşmen, H. (1980). Olimpos-Beydağları Milli Parkının Florası (Türkiye Bilimsel ve Teknik Araştırma Kurumu Temel Bilimler Araştırma Grubu (TBAG), Proje No: 335), Ankara.
Petzoldt, T. (2019). simecol: Simulation of Ecological (and Other) Dynamic Systems. R package version 0.8-13. https://cran.r-project.org/web/packages/simecol/index.html
Phillips, N. (2017). Yarrr: A Companion to the e-book “YaRrr!: The pirate’s guide to R”. R package version 0.1.5. https://cran.r-project.org/web/packages/yarrr/index.html
Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., Heisterkamp, S., Van Willigen, B., & Maintainer, R. (2020). nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-145. https://cran.r-project.org/web/packages/nlme/index.html
R package (2022a). The R Project for Statistical Computing. https://www.r-project.org/
R package (2022b). Cran Mirrors. https://cran.r-project.org/mirrors.html
R package (2022c). The Comprehensive R Archive Network. https://cran.r-project.org/
R package (2022d). Contributed Packages. https://cran.r-project.org/web/packages/
Revelle, W. (2019). psych: Procedures for Psychological, Psychometric, and Personality Research. R package version 1.9.12. Northwestern University, Evanston. https://cran.r-project.org/web/packages/psych/index.html
Roberts, D. W. (2019). labdsv: Ordination and multivariate analysis for ecology. R package version 2.0-1. https://cran.r-project.org/web/packages/labdsv/index.html
Sarkar, D. (2018). Lattice: Trellis Graphics for R. R package version 0.20-38. https://cran.r-project.org/web/packages/lattice/index.html
Signorell, A., Aho, K., Alfons, A., Anderegg, N., Aragon, T., Arppe, A., ... & Borchers, H. W. (2019). DescTools: Tools for Descriptive Statistics. R package version 0.99.31. https://cran.r-project.org/web/packages/DescTools/index.html
Simpson, G. L. (2009). cocorresp: Co-correspondence Analysis Methods. R package version 0.4-1. https://cran.r-project.org/package=cocorresp
Solymos, P. (2016). mefa: Multivariate Data Handling in Ecology and Biogeography. R package version 3.2-7. https://cran.r-project.org/web/packages/mefa/index.html
Tantipisanuh, N., & Gale, G. A. (2018). Identification of biodiversity hotspot in national level-Importance of unpublished data. Global Ecology and Conservation, 13, e00377. https://doi.org/10.1016/j.gecco.2018.e00377
Todou, G., Dedangsou, S., & Kemeuze, V. A. (2017). Floristic composition, diversity and ecological importance of woody plants in eastern part of National Park of Sena Oura, Chad. JBES, 11(2), 92-104.
Trapletti, A., Hornik, K. & LeBaron, B. (2019). tseries: Time Series Analysis and Computational Finance. R package version 0.10-47. https://cran.r-project.org/web/packages/tseries/index.html
Valero-Mora, P. M., & Ledesma, R. D. (2012). Graphical user interfaces for R. Journal of Statistical Software, 49(1), 1-8. https://doi.org/10.18637/jss.v049.i01
Warnes, G. R., Bolker, B., Bonebakker, L., Gentleman, R., Huber, W., Liaw, A., ... & Galili, T. (2019). gplots: Various R programming Tools for Plotting Data. R package version 3.0.1.1. https://cran.r-project.org/web/packages/gplots/index.html
Watson, K. B., Galford, G. L., Sonter, L. J., & Ricketts, T. H. (2020). Conserving ecosystem services and biodiversity: Measuring the tradeoffs involved in splitting conservation budgets. Ecosystem Services, 42, 101063. https://doi.org/10.1016/j.ecoser.2020.101063
Wickham, H. (2018). Reshape: Flexibly Reshape Data. R package version 0.8.8. https://cran.r-project.org/web/packages/reshape/index.html
Wickham, H. (2019). plyr: Tools for Splitting, Applying and Combining Data. R package version 1.8.5. https://cran.r-project.org/web/packages/plyr/index.html
Wickham, H. & Henry, L. (2019). tidyr: Tidy Messy Data. R package version 1.0.0. https://cran.r-project.org/web/packages/tidyr/index.html
Wickham, H., François, R., Henry, L. & Müller, K. (2019a). dplyr: A Grammar of Data Manipulation. R package version 0.8.3. https://cran.r-project.org/web/packages/dplyr/index.html
Wickham, H., Chang, W., Henry, L., Pedersen, T.L., Takahashi, K., Wilke, C., ... & van Den Brand, T. (2019b). ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. R package version 3.2.1. https://cran.r-project.org/web/packages/ggplot2/index.html
Xie, Y., Vogt, A., Andrew, A., Zvoleff, A., Simon, A., Atkins, A., ..., & Foster, Z. (2019). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.26. https://cran.r-project.org/web/packages/knitr/index.html
Yee, T. & Moler, C. (2019). VGAM: Vector Generalized Linear and Additive Models. R package version 1.1-2. https://cran.r-project.org/web/packages/VGAM/index.html
Zeileis, A., Grothendieck, G., Ryan, J.A., Ulrich, J.M. & Andrews, F. (2020). zoo: S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations). R package version 1.8-7. https://cran.r-project.org/web/packages/zoo/index.html
Zhang, J., Pei, N. & Mi, X. (2017). phylotools: Phylogenetic Tools for Eco-Phylogenetics. R package version 0.2.2. https://cran.r-project.org/web/packages/phylotools/index.html
Zhao, S., Yin, L., Guo, Y., Sheng, Q. & Shyr, Y. (2019). heatmap3: An Improved Heatmap Package. R package version 1.1.6. https://cran.r-project.org/web/packages/heatmap3/index.html
Zhu, H., Yong, C., Zhou, S., Wang, H., & Yan, L. (2015). Vegetation, floristic composition and species diversity in a tropical mountain nature reserve in southern Yunan, SW China, with implications for conservation. Tropical Conservation Science, 8(2), 528-546. https://doi.org/10.1177/194008291500800216

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

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

Öz

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