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Titel |
Integrated processing and analysis of hydrological data - not only for experts |
VerfasserIn |
P. Kalicz, Z. Gribovszki |
Konferenz |
EGU General Assembly 2012
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 14 (2012) |
Datensatznummer |
250070951
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Zusammenfassung |
The advent of the digital data logging results huge amount of hydrological time series from
wide variety of hydrological phenomenon and water quality indicators. There are different
sampling frequencies, irregular time steps, hand measured control data which are necessary
treat in the same database. Some processes (e.g. the concentration of surface water) in small
catchments and urban areas change quickly thus at this case for a rigorous study it is
necessary to apply high frequency data sampling. Sometimes there is an error and the
equidistant times series is broken. The error produced gap in the time series forms an obstacle
for some type of calculations.
There are many proprietary softwares process these data and gives solutions for the
exercises. It can be found also open source solutions. Some years ago the open source R was
chosen for analyzing data, which are measured in the Hidegvíz Valley experimental
catchment. This system is an excellent environment to organize and visualize hydrological
time series. The contributing package called zoo has good abilities to work with different
temporal resolutions. There are also many sophisticated statistical functions (e.g. auto- and
cross-correlation functions, spectral analysis, filters, smoothing algorithms, etc.). During the
years some functions was developed for data import, semi-automatic data processing,
visualizations and analyses.
In the last year in the umbrella of a project brings up a demand for visualize time series
from non-R-experts. An easy-to-use graphical user interface was developed to solve this
problem instead of cumbersome import/export processes or introduction to R course. This
integrated utility uses the integrated Tcl/Tk package and gives possibilities to mouse driven
visualization. |
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