Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
Time series reconstruction from unequally spaced natural archive data
In: Mathematical Geosciences. Springer: Dordrecht. ISSN 1874-8961; e-ISSN 1874-8953
|  |
| Author keywords |
Time series; Environmental archive; Natural archive; Harmonic signalmodel; Averaging |
| Auteurs | | Top |
- Beelaerts, V.
- Bauwens, M.
- Pintelon, R.
|
|
|
| Abstract |
Some natural substrates record environmental information and, as such, provide a means to reconstruct the environmental conditions from the period these substrates were formed. Samples from environmental archives are not always equally spaced in distance. When a periodic time series model is estimated from these unequally spaced proxy records, the search for reasonable starting values is the main difficulty. In this work, a non-parametric method based on the regressive Fourier series is first presented, which reduces averaging errors starting from unequally spaced records. The method is applied to synthetic data and generally performs well in all circumstances. Secondly, a parametric method for the construction of a time base and the elimination of averaging errors from unequally spaced records is presented. This parametric method uses the non-parametric method to produce starting values for the parameters. The method is compared with the time series construction method with the averaging effect taken into account and it is observed that only the current method produces acceptable results. The statistical performance of the method is verified with a Monte Carlo simulation and the estimator is proven to be an efficient estimator. The applicability of the method is demonstrated on the vessel density measurement in a mangrove tree, Rizophora mucronata, which is a proxy for the rainfall in tropical coastal regions. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
