CLUSTERING OBSERVATIONS IN FACTOR SPACE OF EKOLOGO-GEOCHEMICAL MEASUREMENTS OF THE SNOW COVER OF THE CITY OF TOMSK
It is spent many-dimensional statistical (correlative, cluster, factor and dispersing) the analysis of outcomes of ekologo-geochemical measurements of snow of a city of Tomsk (EGChMST). Highly significant correlation between microcells is revealed. 4 factor model EGChMST, explaining 84,5 % from the general variance is constructed: {Cs-Rb - Sc} - the factor of rare microcells, {Cr - Sb - Fe} - the factor of heavy metals, {Co - Na} and {Ba - Ca} - factors mixed from heavy metal and a macrocell. In 4 measured factor space 6 cluster model 20 observations which high quality under each factor is estimated by F-criterion within the limits of a parametrical analysis of variance (at level of the strong importance р <0,005) is constructed and is confirmed by nonparametric criterion of Kraskel-Willis in the softened form (at level of the weak importance 0,05 < р < 0,10). For each factor on the basis of criteria of plural comparisons classification of clusters of observations in an ordinal dial of the standardised factor measurements is spent. Outcomes of the spent statistical analysis can be considered in the organisation of local monitoring in ecologically unsuccessful areas.