相似性度量支持下的隐喻地图轮廓设计

形状轮廓对于事物的认知十分重要，是决定事物类别的关键属性，对于借助虚拟地图表达非空间数据的隐喻地图，其轮廓具有可操作优势，可用以增强其地图相似度，促进其与真实地图间联系的建立。但目前隐喻地图研究多侧重地图制作生成技术，较少关注地图认知设计，对制图过程掌控性差，导致地图轮廓形态随机性较强。以Gosper地图为基础进行改造设计，依据真实地图轮廓设计隐喻地图轮廓:基于转角函数法构建目标函数，衡量隐喻地图轮廓与目标轮廓的相似性，通过目标函数对地图轮廓进行筛选，并利用优化算法控制筛选流程，获得满足需求的地图轮廓。使用真实数据进行试验，结果表明，该方法可以获取与目标轮廓近似的地图轮廓，并能基于此轮廓框架开展地图设计表达工作。

Similarity Measurement-Based Outline Design of Metaphor Map

Outline is very important to the cognition of objects and it is the key attribute to decide the category of objects. For the metaphor map whose purpose is to use the virtual map to express non-spatial data, its outline has operational advantages. This advantage can be exploited to enhance map similarity and promote the establishment of a connection with the real map. At present, the study of metaphor maps emphasizes too much on the map making technology, and pays less attention to map cognitive design. Poor control of the mapping process leads to a strong randomness of the map's outline and to filter the map outlines. We also apply the optimization algorithm to control the filter flow to obtain a satisfactory map outline and to filter the map outlines. The experiments under real data show that this method can obtain a map outline similar to target outline and the outline framework helps to carry out the work of map design and representation.