Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach

Fatma Kübra Tokgöz; Yunus Aksu

doi:10.17798/bitlisfen.1802648

Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach

Abstract

This study used multivariate statistical methods such as principal component analysis (PCA) and canonical correlation analysis (CCA) to examine seven measured properties of 580 soil samples collected from agricultural lands in Burdur province.. Our aim is to reveal the complex structure of the soil and the relationships between different properties. PCA analysis identified three principal components that explained 67.9% of the total variance. The first component consists of organic matter, available phosphorus and available potassium; the second component consists of total salt and saturation, and the third component consists of pH and lime properties. These findings indicate that soil properties act together in certain groups. CCA confirmed that there was a statistically significant relationship between these sets of variables, and the initial canonical correlation coefficient was determined to be 0.360. CCA analyses revealed 38.2% of the variance of the variables in Set 1, 57.1% of the variance in Set 2, and 4.9% and 7.4% of the variance shared between the two sets, respectively, indicating a moderate relationship between the variables. These data provide a valuable basis for understanding the interaction between soil fertility and chemical properties, especially under the climatic conditions of Burdur. These analyses are expected to be an important tool for regional agricultural planning and the development of sustainable soil management strategies

Keywords

Supporting Institution

Burdur Provincial Directorate of Agriculture and Forestry.

Ethical Statement

This study used only soil analysis data provided by the Burdur Provincial Directorate of Agriculture and Forestry. Human and animal subjects were not included in the study. All data was used with permission from the relevant institution and utmost care was taken to ensure data confidentiality

Thanks

We would like to thank the Burdur Provincial Directorate of Agriculture and Forestry for providing data for this study and the laboratory staff for their technical

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Details

Primary Language

English

Subjects

Agricultural Engineering (Other)

Journal Section

Research Article

Authors

Fatma Kübra Tokgöz ^*
0009-0000-5863-0759
Türkiye

Yunus Aksu
0009-0003-0437-0121
Türkiye

Publication Date

June 30, 2026

Submission Date

October 13, 2025

Acceptance Date

January 6, 2026

Published in Issue

Year 2026 Volume: 15 Number: 2

DOI

https://doi.org/10.17798/bitlisfen.1802648

IZ

https://izlik.org/JA28HD89GH

Cite

RIS / Bibtex

APA

Tokgöz, F. K., & Aksu, Y. (2026). Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 15(2), 608-614. https://doi.org/10.17798/bitlisfen.1802648

AMA

1.Tokgöz FK, Aksu Y. Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026;15(2):608-614. doi:10.17798/bitlisfen.1802648

Chicago

Tokgöz, Fatma Kübra, and Yunus Aksu. 2026. “Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15 (2): 608-14. https://doi.org/10.17798/bitlisfen.1802648.

EndNote

Tokgöz FK, Aksu Y (June 1, 2026) Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15 2 608–614.

IEEE

[1]F. K. Tokgöz and Y. Aksu, “Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 15, no. 2, pp. 608–614, June 2026, doi: 10.17798/bitlisfen.1802648.

ISNAD

Tokgöz, Fatma Kübra - Aksu, Yunus. “Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 15/2 (June 1, 2026): 608-614. https://doi.org/10.17798/bitlisfen.1802648.

JAMA

1.Tokgöz FK, Aksu Y. Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026;15:608–614.

MLA

Tokgöz, Fatma Kübra, and Yunus Aksu. “Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 15, no. 2, June 2026, pp. 608-14, doi:10.17798/bitlisfen.1802648.

Vancouver

1.Fatma Kübra Tokgöz, Yunus Aksu. Multivariate Analysis of Soil Properties in Burdur Province: Principal Component Analysis and Canonical Correlation Approach. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2026 Jun. 1;15(2):608-14. doi:10.17798/bitlisfen.1802648