本文借助隐喻地图的思想，研究非空间层次数据的空间隐喻表达与分析，以地图视角对非空间数据进行空间化处理，将抽象数据具象化以降低认知负荷，对地图学相关方法进行综合运用以拓宽其应用外沿。结合制图学经典方法开展地图视觉设计，以自然地貌隐喻数据特征，针对层次数据结构特点，将LOD及Cartogram技术引入隐喻地图的表达分析中，对各层级数据特征进行有效凸显，达到通过地图研究其背后数据规律特征之目的。最后，将本研究提出的方法应用于真实文件层次数据，进行文件数量分布、大文件群落定位、文件纵深分析等试验。结果表明，本研究能够有效表达层次数据，并支持一定的地图分析及数据挖掘工作。
This study focuses on spatial metaphor expression and analysis of hierarchy data with the help of map metaphor. We use classic cartographic methods synthetically to process the non-spatial data to realize the spatialization. This process makes abstract data concrete which can reduce cognitive load. In addition,it expands the extension of cartography. In terms of specific methods,we use the landscape metaphor to reflect data feature,and introduce LOD and Cartogram into map metaphor which is suitable for hierarchy data's structural characteristics. Comprehensive usage of above methods help highlight features of each layer of data and analyze data characteristics through the map. At last the validity of this method is verified by the real file hierarchy data. We conduct experiments to analyze file number distribution,large file location and file depth. The results show that our method can effectively express the hierarchical data and support some map analysis and data mining.
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