交互点值图上的可视化抽象和探索

Visual Abstraction and Exploration of Interactive Dot Map

多类离散数据在地理空间的分布,是地理相关可视化领域研究的热点。作为此类数据基本可视化呈现方式,点值图具有直观、细节丰富的优点,但是亦存在点重叠导致的可读性差的问题。本文提出了一种按分辨率进行密度估计方法对点值图进行优化,灵活地调节当前分辨率下取样参数,以期尽最大可能显示细节,同时保持各类属性的相对密度特征;为了弥补取样导致的离散特征的丢失,我们使用了一系列交互手段,能有效地提高可视分析的准确性并辅助整体的可视表达。本文最后通过实例分析和用户研究证明了本方法的有效性。

The distribution of multiclass discrete data in geographic space is a research hotspot in the field of geographic-related visualization. As a basic visual presentation of such data,the advantages of dot maps are perceptual intuition and abundant details,but there is also the problem of poor readability due to the points overlap. The approach of density estimation by resolution is proposed in this paper to optimize dot maps,and to flexibly adjust sampling parameters of the current resolution,so as to show the details to the maximum extent and maintain the relative density characteristics of various types of property. In order to compensate the missing discrete features caused by sampling,a series of interactive tools are used to effectively improve the accuracy of visual analysis and assist the overall visual representation. Finally,the effectiveness of this approach is proved through case analysis and user research.