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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
is important for future projects, although the shortcomings are,
that the test only last for limited time periods and the method
emphasize first time usage.
When visualizing multi-temporal data, it seems obvious to use
animation techniques. Animation produces strong visual effect
on the viewer and it is able to demonstrate some rather apparent
trends, like beach erosion or sedimentation. On the other hand,
the usefulness of animation for data exploration, i.e. for the
detection of new knowledge, must not be overestimated
(Adrienko et al, 2000). It is hard to differentiate between
images when we compare states of a phenomenon at different
time moments or when changes over time are minimal or
scattered. Recently a number of tools for controlling animation
have been suggested that improve its suitability for analysis
(Kraak, 2003). Further advancement of the map animation
technique can be achieved by means of combining it with
additional displays of the same data as well as various
transformations of the data. In particular, the amount of change
between two time moments can be computed and visualized.
For visualizing multivariate multi-temporal datasets, animation
tools might not be the most appropriate visualization technique.
Therefore, we chose to show individual quality elements for
each compartment in a temporal ordered space matrix.
6. CONCLUSION
We designed a prototype for multivariate visualization, to
detect trends and associations in the data and represent its
quality elements. As a case study, we apply an ontologically
based approach on a beach management application, to derive
to quality elements involved for beach nourishment. By means
of multivariate visualization of quality elements, the prototype
will help in understanding datasets and their quality elements
by instant view. Its effectiveness towards insight of the data and
their shortcomings related to their quality, help decision makers
to determine which objects are of interest for beach
nourishments. The prototype can be useful for interactive and
explorative purposes and its strength to deal with non temporal,
as well as multi-temporal data.
ACKNOWLEDGEMENTS
The work was funded by the European Community, under IST-
1999-14189 project REVIGIS. The datasets have been made
available by Rijkswaterstaat and RIKZ.
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