@article{article_625588, title={Investigation of the Similarities of Industrial Wood Production Statistics of Regional Directorates of Forestry in Turkey Using Cluster and Discriminant Analysis}, journal={Kastamonu University Journal of Forestry Faculty}, volume={19}, pages={214–224}, year={2019}, DOI={10.17475/kastorman.625588}, author={Akyüz, İlker and Ersen, Nadir and Bayram, Bahadır Çağrı and Acar, Mustafa and Akyüz, Kadri Cemil and Üçüncü, Tutku}, keywords={Industrial Wood,Cluster Analysis,Discriminant Analysis}, abstract={<p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;text-indent:14.2pt;line-height:normal;"> <i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">Aim of study </span> </i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">: In this study, the amount of industrial wood production of the
regional directorates of forestry in Turkey was examined deeply and the
similarities between the regional directorates in industrial wood production
were investigated by cluster and discriminant analysis. </span> </p> <p> </p> <p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;text-indent:14.2pt;line-height:normal;"> <i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">Area of study </span> </i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">: The study area is regional directorates of forestry in Turkey. </span> </p> <p> </p> <p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;text-indent:14.2pt;line-height:normal;"> <i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">Material and Method </span> </i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">: Seven different variables were used to construct similar clusters. The
arithmetic mean of these seven variables was taken for 4 years (2013-2016).  Cluster and discriminant analysis were used
as method. </span> </p> <p> </p> <p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;text-indent:14.2pt;line-height:normal;"> <i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">Main results </span> </i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">: According to the clustering analysis results, it was determined that
regional directorates of forestry could be divided into maximum 6 and minimum 2
groups. As a result of the discriminant analysis conducted to determine the
highest success of the groupings, it was determined that the regional
directorates of forestry distinguished in 100% success in 6 groups. Also, it
was found that a Kastamonu regional directorate of forestry, which has the
highest value in industrial wood production, has formed a group alone. </span> </p> <p> </p> <p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;text-indent:14.2pt;line-height:normal;"> <i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">Highlights </span> </i> <span lang="en-gb" style="font-size:10pt;font-family:’Times New Roman’, serif;" xml:lang="en-gb">: For the production of industrial wood, the regional directorates of
forestry can put more emphasis on the use of forest areas. Thus, we can avoid
the dependence on foreign sources. </span> </p> <p> </p>}, number={2}, publisher={Kastamonu University}