Classification of Forest Fires in European Countries by Clustering Analysis Techniques

Author:

SERİN Hakan1ORCID,KÖREZ Muslu Kazım2ORCID,TEKİN Mehmet Emin1ORCID,SİREN Sinan1ORCID

Affiliation:

1. SELÇUK ÜNİVERSİTESİ

2. SELÇUK ÜNİVERSİTESİ, TIP FAKÜLTESİ

Abstract

The biggest threat to the forests, which are natural habitats in European countries, as they are in the whole world, is forest fires. The aim of this study is to group the 38 European countries which have completely accessible fire indexes between the years 2008 to 2022; with respect to their similarities in fire regimes; and to compare the obtained groups with respect to their fire indexes. The clustering technique, which is a data mining method, was used while making these comparisons since it would be more objective and realistic to group and evaluate the countries according to their similarities. In the K-Means technique 2 clusters, and in the Ward's method 3 clusters were obtained. In the K-Means technique, significant statistical differences were found between the 2 clusters in terms of all fire indexes (p

Publisher

Sakarya University Journal of Science

Subject

General Medicine

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