TY  - JOUR
T1  - Investigation of the Similarities of Industrial Wood Production Statistics of Regional Directorates of Forestry in Turkey Using Cluster and Discriminant Analysis
TT  - Türkiye’de Orman Bölge Müdürlüklerinin Endüstriyel Odun Üretim Miktarı İstatistiklerinin Benzerliklerinin Kümeleme ve Diskriminant Analizi ile Araştırılması
AU  - Akyüz, İlker
AU  - Ersen, Nadir
AU  - Bayram, Bahadır Çağrı
AU  - Acar, Mustafa
AU  - Akyüz, Kadri Cemil
AU  - Üçüncü, Tutku
PY  - 2019
DA  - September
DO  - 10.17475/kastorman.625588
JF  - Kastamonu University Journal of Forestry Faculty
PB  - Kastamonu Üniversitesi
WT  - DergiPark
SN  - 1303-2399
SP  - 214
EP  - 224
VL  - 19
IS  - 2
LA  - en
AB  - Aim of study: In this study, the amount of industrial wood production of theregional directorates of forestry in Turkey was examined deeply and thesimilarities between the regional directorates in industrial wood productionwere investigated by cluster and discriminant analysis. Area of study: The study area is regional directorates of forestry in Turkey.Material and Method: Seven different variables were used to construct similar clusters. Thearithmetic mean of these seven variables was taken for 4 years (2013-2016). Cluster and discriminant analysis were usedas method.Main results: According to the clustering analysis results, it was determined thatregional directorates of forestry could be divided into maximum 6 and minimum 2groups. As a result of the discriminant analysis conducted to determine thehighest success of the groupings, it was determined that the regionaldirectorates of forestry distinguished in 100% success in 6 groups. Also, itwas found that a Kastamonu regional directorate of forestry, which has thehighest value in industrial wood production, has formed a group alone.Highlights: For the production of industrial wood, the regional directorates offorestry can put more emphasis on the use of forest areas. Thus, we can avoidthe dependence on foreign sources.
KW  - Industrial Wood
KW  - Cluster Analysis
KW  - Discriminant Analysis
N2  - Çalışmanın amacı: Bu çalışmada ormanbölge müdürlüklerinin endüstriyel odun üretim miktarları detaylı bir şekildeincelenmiş olup, endüstriyel odun üretimi bakımından bölge müdürlüklerininbenzerlikleri küme ve diskriminant analiz yardımıyla araştırılmıştır.Çalışma alanı: Türkiye’deki ormanbölge müdürlükleri çalışma alanını oluşturmaktadır.Materyal ve Yöntem: Benzer özellikleritaşıyan kümeleri oluşturmak için yedi farklı değişken kullanılmıştır. Budeğişkenlerin 2013-2016 yıllarındaki değerlerinin ortalaması alınmıştır.Araştırma yöntemi olarak ise kümeleme analizi ve diskriminant analizikullanılmıştır.Sonuçlar: Kümeleme analizisonucuna göre, orman bölge müdürlüklerini en fazla 6 ve en az 2 grubaayrılabileceği tespit edilmiştir. Oluşturulan gruplamalardan en yüksek başarıyıbelirlemek için yürütülen ayırma analizi sonucunda orman bölge müdürlüklerinin6’li gruplamada %100 başarı elde ettiği saptanmıştır. Ayrıca, endüstriyel odunüretiminde en yüksek değere sahip olan Kastamonu orman bölge müdürlüğünün tekbaşına bir grup oluşturduğu bulunmuştur.Önemli Vurgular: Endüstriyel odunüretimi için orman bölge müdürlükleri orman alanlarının kullanımı ile ilgiliçalışmalara daha fazla önem vererek dışa bağımlılığın önüne geçebiliriz.
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UR  - https://doi.org/10.17475/kastorman.625588
L1  - https://dergipark.org.tr/tr/download/article-file/817204
ER  -