DOI: 10.5593/sgem2012/s09.v2012


Wednesday 1 August 2012 by Libadmin2012

References: 12th International Multidisciplinary Scientific GeoConference, www.sgem.org, SGEM2012 Conference Proceedings/ ISSN 1314-2704, June 17-23, 2012, Vol. 2, 1013 - 1020 pp


Ecotones are significant part of almost every landscape structures and have a significant
effect on the distribution of species. Spatial variability of ecotones has resulted in
problematic modelling, analysis and visualization of these landscape forms. Their
spatial variability and fuzzy character are causing uncertain and problematic handling in
GIScience. Uncertainty of ecotones in the landscape arises from many sources,
including complexities inherent in ecosystems and their disturbance processes.
However, gaining knowledge about ecosystems at the landscape level is often impeded
by limitations in collecting comprehensive, representative, as well as accurate data sets.
The investigation into ecotones enables a better understanding of the causal
relationships between certain landscape elements and landscape utilization categories.
By studying ecotones, we wanted to expand understanding of patterns having an
influence on the landscape condition, structure, functions, landscape elements and their
relationships. In our study we focused on visualization techniques for ecotones
visualization with included uncertainty. This approach should help to better
understanding, assessment and potential spreading of visual information about spatial
distribution of ecotones in the landscape. Visualization of spatial uncertainty is still
challenging topic for cartographic community with many unsolved research questions.
The paper explores the variation of visualization methods for portrayal situation when it
is hard to distinguish exactly where one land cover type changes into another; mostly
when the ecotone is not an abrupt transition, but has a spatial extent in its own right.
This nature based reality needs to be properly visualized for better understanding of
spatial characteristic of the studied landscape.

Keywords: ecotones, uncertainty, visualisation, entropy

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