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首页> 外文期刊>Journal of Earth Science & Climatic Change >Detection and Visualisations of Ecotones–Important Landscape Pattern under Uncertainty
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Detection and Visualisations of Ecotones–Important Landscape Pattern under Uncertainty

机译:不确定性下过渡带重要景观格局的检测与可视化

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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. Visualization of spatial uncertainty is still challenging topic for cartographic community with many unsolved research questions. The presentation explores the possible visualization methods for portrayal ecotones based on detection, description and analysis of geographic boundaries of Trkmanka river catchment with respect to cartographical rules and cognitive aspects.
机译:过渡带是几乎每个景观结构的重要组成部分,并且对物种的分布有重要影响。生态交错带的空间变异性导致这些景观形式的建模,分析和可视化出现问题。它们的空间变异性和模糊性正导致GIS科学中的不确定性和问题性处理。景观中过渡带的不确定性来自多种来源,包括生态系统固有的复杂性及其干扰过程。但是,在景观层面上获取有关生态系统的知识通常受到收集全面,代表性以及准确数据集的限制。对生态交错带的调查可以更好地理解某些景观要素与景观利用类别之间的因果关系。对于具有许多未解决的研究问题的制图界来说,空间不确定性的可视化仍然是具有挑战性的主题。该演讲探讨了基于描绘规则和认知方面的特尔曼卡河集水区地理边界的检测,描述和分析,从而描述了刻画生态交错带的可能的可视化方法。

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