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  • 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.
  • 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. (en)
Title
  • Ecotones - challenge in visualisation of landscape heterogenity
  • Ecotones - challenge in visualisation of landscape heterogenity (en)
skos:prefLabel
  • Ecotones - challenge in visualisation of landscape heterogenity
  • Ecotones - challenge in visualisation of landscape heterogenity (en)
skos:notation
  • RIV/61989592:15310/12:33143229!RIV13-MSM-15310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 132762
http://linked.open...ai/riv/idVysledku
  • RIV/61989592:15310/12:33143229
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • entropy; visualisation; uncertainty; ecotones (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AC2693DF11BF]
http://linked.open...v/mistoKonaniAkce
  • Albena, Bulgaria
http://linked.open...i/riv/mistoVydani
  • Sofia
http://linked.open...i/riv/nazevZdroje
  • Conference proceedings 12th International Multidisciplinary Scientific GeoConference, Volume II
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Brus, Jan
  • Pechanec, Vilém
  • Kilianová, Helena
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1314-2704
number of pages
http://bibframe.org/vocab/doi
  • 10.5593/SGEM2012/S09.V2012
http://purl.org/ne...btex#hasPublisher
  • STEF92 Technology Ltd.
https://schema.org/isbn
  • 978-954-91818-3-8
http://localhost/t...ganizacniJednotka
  • 15310
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