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2017 | OriginalPaper | Chapter

Development of Methods of the Fractal Dimension Estimation for the Ecological Data Analysis

Authors : Jakub Jura, Aleš Antonín Kuběna, Martin Novák

Published in: Recent Advances in Soft Computing

Publisher: Springer International Publishing

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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.

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Metadata
Title
Development of Methods of the Fractal Dimension Estimation for the Ecological Data Analysis
Authors
Jakub Jura
Aleš Antonín Kuběna
Martin Novák
Copyright Year
2017
Book
Recent Advances in Soft Computing

Print ISBN: 978-3-319-58087-6

Electronic ISBN: 978-3-319-58088-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-58088-3_24

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