Tom: 48 Strona: 18

Agnieszka Kubik-Komar

Application of multivariate statistical analyzes for comparison of Betula pollen seasons 2001-2016 in Lublin

Język: Angielski

Słowa kluczowe:
cluster analysis
optimal number of clusters
principal component analysis
pollen seasons

The aim of the study was finding similar groups of birch pollen season in Lublin in 2001-2016 based on the pollen seasons parameters such as start, end, duration, peak date, peak value and annual pollen sum. Cluster analysis was used along with an optimal number of clusters algorithms as well as principal components analysis. Seasons were grouped in three clusters: 1) characterized by the late start and short duration, 2) characterized by the late end and low concentration of pollen and 3) characterized by the early start, long duration and high concentration of pollen.