Geovisualization of attribute uncertainty helps users to recognize underlying processes of spatial data. However, it still lacks an availability of uncertainty visualization tools in a standard GIS environment. This paper proposes a framework for attribute uncertainty visualization by extending bivariate mapping techniques. Specifically, this framework utilizes two cartographic techniques, choropleth mapping and proportional symbol mapping based on the types of attributes. This framework is implemented as an extension of ArcGIS in which three types of visualization tools are available: overlaid symbols on a choropleth map, coloring properties to a proportional symbol map, and composite symbols.

中文翻译：

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区间和比率变量的属性不确定性地理可视化：矢量数据的框架和实现。


属性不确定性的地理可视化有助于用户识别空间数据的潜在过程。然而，它仍然缺乏标准 GIS 环境中不确定性可视化工具的可用性。本文通过扩展二元映射技术提出了属性不确定性可视化的框架。具体来说，该框架利用两种制图技术，即基于属性类型的等值线映射和比例符号映射。该框架作为 ArcGIS 的扩展实现，其中提供了三种类型的可视化工具：分区统计图上的叠加符号、比例符号地图的着色属性以及复合符号。