Use of transformed data sets in examination of relationship between growth of trees and weather parameters

Abstract

Analysing and stability improving methods were studied for the examination of relationships between tree growth and meteorological factors according to our requirements. In order to explore more complex relations from primary data sets secondary data series had to be systematically transformed and a uniform analysis process was developed for their investigation. The structure of the Systematic Transformation Analysing Method (STAM) has three main components. The first module derives input data from the original series without any essential changes. The transformation unit produces secondary data series using a moving window technique. The thirds component performs the examinations. STAM also allows the application in several other research fields.