Development of Methods of the Fractal Dimension Estimation for the Ecological Data Analysis
| Autor: | Jakub Jura, Martin Novak, Aleš Antonín Kuběna |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Estimation
Series (mathematics) Relation (database) computer.software_genre 01 natural sciences Fractal dimension 030218 nuclear medicine & medical imaging 010305 fluids & plasmas 03 medical and health sciences 0302 clinical medicine Fractal 0103 physical sciences Hydrometeorology Point (geometry) Data mining Time series computer Mathematics |
| Zdroj: | Recent Advances in Soft Computing ISBN: 9783319580876 |
| DOI: | 10.1007/978-3-319-58088-3_24 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|