Development of methods of the Fractal Dimension estimation for the ecological data analysis

TL;DR

This paper introduces three new algorithms for estimating the Fractal Dimension of hydrometeorological data, aiding ecological analysis and land use studies.

Contribution

It presents novel methods for Fractal Dimension estimation specifically tailored for hydrometeorological time series data.

Findings

Methods are applicable to hydrometeorology variables.

Potential for analyzing ecosystem autoregulation functions.

Useful for land use and ecological data analysis.

Abstract

This paper deals with an estimating of the Fractal Dimension of a hydrometeorology variables like an Air temperature or humidity at a different sites in a landscape (and will be further evaluated from the land use point of view). Three algorithms and methods of an estimation of the Fractal Dimension of a hydrometeorology time series were developed. The first results indicate that developed methods are usable for the analysis of a hydrometeorology variables and for a testing of the relation with autoregulation functions of ecosystem