PDF Zotero Mendeley EndNote BibTex Cite

FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS

Year 2009, Volume 10, Issue 2, 1 - 9, 03.09.2009

Abstract

The purpose of the paper is to determine a model, the soil field water capacity in accordance with soil texture. At first, multiple regression analysis has been used to determine a model. But, it was found multiple relation problem in the model because of strong relationships among the independence variables. Therefore, principle component regression analysis was applied and the problem was solved. It is known that sand, dust and clay contents play important roles on field water capacity. But, the model can not be run by multiple regression analysis because of strong relationships among sand, dust and clay. In this situation, the best way is to solve the multiple relation problem by using principle component regression analysis. Keywords: Soil Texture, Soil Field Water Capacity, Principle Component Scores, Variance Inflation Factor, Multiple Relation Problems, Principle Component Regression Analysis

TOPRAĞIN TARLA KAPASİTESİ DEĞİŞİMİNİN TOPRAK TÜRÜNE GÖRE TEMEL BİLEŞENLER REGRESYON ANALİZİ İLE MODELLENMESİ

Year 2009, Volume 10, Issue 2, 1 - 9, 03.09.2009

Abstract

Bu çalışmada toprağın tarla kapasitesi değişiminin toprak türüne göre modellenmesi amaçlanmıştır. Bunun için önce çoklu regresyon analizi kullanılmış ama model denetlendiğinde çoklu bağlantı problemi ile karşılaşılmıştır. Modele sokulan bağımsız değişkenlerin doğal olarak aralarında var olan güçlü korelasyonlar bu sonucun doğmasına sebep olmuştur. Temel bileşenler regresyon analizi ile bu problem ortadan kaldırılmıştır. Toprağın tarla kapasitesi üzerinde kum kil ve tozun çok önemli etkisi olduğu bilinmektedir. Ancak kum kil ve toz arasındaki güçlü korelasyonlar bilinen çoklu regresyon analizi ile modelleme yapmaya engel olmaktadır. Bu durumda temel bileşenler regresyon analizi sağlıklı modelleme için en iyi çözüm olmaktadır. Anahtar Kelimeler: Toprak Türü, Tarla Kapasitesi, Temel Bileşen Skorları, Öz Vektör, Varyans Şişme Değeri, Çoklu Bağlantı Problemi, Temel Bileşenler Regresyon Analizi

Details

Primary Language English
Journal Section Orijinal Araştırma Makalesi
Authors

Kürşad ÖZKAN

Publication Date September 3, 2009
Published in Issue Year 2009, Volume 10, Issue 2

Cite

Bibtex @ { tjf224333, journal = {Turkish Journal of Forestry}, issn = {}, eissn = {2149-3898}, address = {}, publisher = {Isparta University of Applied Sciences}, year = {2009}, volume = {10}, pages = {1 - 9}, doi = {10.18182/tjf.27890}, title = {FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS}, key = {cite}, author = {Özkan, Kürşad} }
APA Özkan, K. (2009). FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS . Turkish Journal of Forestry , 10 (2) , 1-9 . Retrieved from https://dergipark.org.tr/en/pub/tjf/issue/20893/224333
MLA Özkan, K. "FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS" . Turkish Journal of Forestry 10 (2009 ): 1-9 <https://dergipark.org.tr/en/pub/tjf/issue/20893/224333>
Chicago Özkan, K. "FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS". Turkish Journal of Forestry 10 (2009 ): 1-9
RIS TY - JOUR T1 - FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS AU - Kürşad Özkan Y1 - 2009 PY - 2009 N1 - DO - T2 - Turkish Journal of Forestry JF - Journal JO - JOR SP - 1 EP - 9 VL - 10 IS - 2 SN - -2149-3898 M3 - UR - Y2 - 2022 ER -
EndNote %0 Turkish Journal of Forestry FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS %A Kürşad Özkan %T FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS %D 2009 %J Turkish Journal of Forestry %P -2149-3898 %V 10 %N 2 %R %U
ISNAD Özkan, Kürşad . "FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS". Turkish Journal of Forestry 10 / 2 (September 2009): 1-9 .
AMA Özkan K. FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS. Turkish Journal of Forestry. 2009; 10(2): 1-9.
Vancouver Özkan K. FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS. Turkish Journal of Forestry. 2009; 10(2): 1-9.
IEEE K. Özkan , "FIELD WATER CAPASITY MODELLING ACCORDING TO SOIL TEXTURE USING PRINCIPLE COMPONENT REGRESSION ANALYSIS", Turkish Journal of Forestry, vol. 10, no. 2, pp. 1-9, Sep. 2009, doi:10.18182/tjf.27890