Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City
Öz
In this study, it was aimed to be predicted the maximum and minimum air temperature for the province Karaman by using the variables of 850hpa temperature, daily sunshine duration, mean temperature, relative humidity, and mean pressure. The prediction of maximum and minimum temperature belonging to the first months of four seasons was firstly made by 850hpa temperature and then, adding the variables of daily sunshine duration, mean temperature, relative humidity, and mean pressure to this in order, regression equations were obtained. In general, in the prediction of minimum and maximum air temperature, regression model, in which the independent variables of 850hpa temperature, daily sunshine duration, and mean temperature, gave better results and, the addition of independent variables of mean pressure and relative humidity to the model did not cause a significant increase in determination coefficients.
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
Hayvansal Üretim (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
28 Aralık 2018
Gönderilme Tarihi
19 Kasım 2018
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2018 Cilt: 32 Sayı: 3
APA
Kav, R., & Keskin, İ. (2018). Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk Journal of Agriculture and Food Sciences, 32(3), 516-522. https://izlik.org/JA75PG66JF
AMA
1.Kav R, Keskin İ. Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk J Agr Food Sci. 2018;32(3):516-522. https://izlik.org/JA75PG66JF
Chicago
Kav, Resul, ve İsmail Keskin. 2018. “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”. Selcuk Journal of Agriculture and Food Sciences 32 (3): 516-22. https://izlik.org/JA75PG66JF.
EndNote
Kav R, Keskin İ (01 Aralık 2018) Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk Journal of Agriculture and Food Sciences 32 3 516–522.
IEEE
[1]R. Kav ve İ. Keskin, “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”, Selcuk J Agr Food Sci, c. 32, sy 3, ss. 516–522, Ara. 2018, [çevrimiçi]. Erişim adresi: https://izlik.org/JA75PG66JF
ISNAD
Kav, Resul - Keskin, İsmail. “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”. Selcuk Journal of Agriculture and Food Sciences 32/3 (01 Aralık 2018): 516-522. https://izlik.org/JA75PG66JF.
JAMA
1.Kav R, Keskin İ. Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk J Agr Food Sci. 2018;32:516–522.
MLA
Kav, Resul, ve İsmail Keskin. “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”. Selcuk Journal of Agriculture and Food Sciences, c. 32, sy 3, Aralık 2018, ss. 516-22, https://izlik.org/JA75PG66JF.
Vancouver
1.Resul Kav, İsmail Keskin. Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk J Agr Food Sci [Internet]. 01 Aralık 2018;32(3):516-22. Erişim adresi: https://izlik.org/JA75PG66JF