空间数据多尺度表达的不确定性可视化模型

以视觉与认知理论为基础,研究了空间数据多尺度表达中不确定性的可视化方法,主要包括:设计不确定性的分级表达模型,提出色彩与不确定性的映射关系,构建了空间数据多尺度表达的不确定性可视化视觉变量系统,提出了采用动态符号或动态视觉变量来表示空间数据多尺度表达过程中的不确定性的方法.结果表明,该方法能清晰、直观、有效地表达空间数据多尺度表达中的不确定性,有助于理解不确定性的变化与传播规律.

Uncertainty Visualization Models for Multi-scale Representation of Spatial Data

Uncertainty visualization methods for multi-scale representation of spatial data were studied based on visual and cognitive. These methods included the model of graded representation,the mapping relations between colors and the uncertainty,visual variables system of uncertainty visualization. Besides these,another method of uncertainty visualization by the dynamic and dynamic symbol was proposed. Experimental studies showed that these methods could represent the uncertainty of spatial data clearly,directly and effectively,and could promote to comprehend the change and the propagation law of uncertainty.