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Effect of uncertainty in spatial datasets on the reliability of connectivity analysis for a protected area network in Whistler, British Columbia.

机译：空间数据集的不确定性对不列颠哥伦比亚省惠斯勒保护区网络的连通性分析的可靠性影响。

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This study explored the application of graph theory and GIS to spatially-explicit environmental planning and the uncertainty associated with these techniques. Graph theory and GIS can be used to identify patches important to maintaining ecological connectivity. A case study, which applied graph theory to reserve design showed species with intermediate dispersal ranges had the greatest sensitivity to patch removal. A sensitivity analysis on spatial data demonstrated that the order of patch importance could change with variations in the data. Cost surface definition, and data resolution had the greatest impact on the order of patch removal and the total area retained, while the classification of the habitat map had little impact on the results. Sensitivity to uncertainties within the data was related to dispersal capability with intermediate ranges having the greatest sensitivity. This research supports presentation of alternative results, produced by sensitivity analyses, to decision-makers to mitigate against GIS uncertainties.
机译：这项研究探索了图论和GIS在空间明确的环境规划中的应用以及与这些技术相关的不确定性。图论和GIS可用于识别对维持生态连通性至关重要的斑块。运用图论进行保护区设计的案例研究表明，具有中等分散范围的物种对斑块去除的敏感性最高。对空间数据的敏感性分析表明，斑块重要性的顺序可能随数据的变化而变化。成本表面定义和数据分辨率对斑块去除顺序和保留的总面积影响最大，而栖息地图的分类对结果影响不大。数据中不确定性的敏感性与分散能力有关，中间范围的敏感性最高。这项研究支持将敏感性分析产生的替代结果呈现给决策者，以减轻GIS的不确定性。

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