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A two-step process for graphically summarizing spatial temporal multivariate data in two dimensions

机译:图形化地概括二维时空多元数据的两步过程

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摘要

Graphical illustration and exploration of atmospheric data, like those from the 2006 ASA Data Exposition, is challenging. We chose to employ a two-step process, which consisted of exploring the presented data (1) from a ‘global’ view by simultaneously displaying the spatial and temporal components of individual variables in the data set using a geographic grid of polar coordinate plots or circular histograms that incorporated elevation as a background color, and (2) from a ‘local’ view by displaying the relationships between multiple variables at specific geographic locations and/or time points/periods (selected via step 1) using scatterplot matrices.
机译:像2006 ASA数据博览会这样的大气数据,其图形化显示和探索是一项挑战。我们选择采用两步过程,该过程包括通过使用极坐标图或地理坐标网格同时显示数据集中各个变量的时空分量,从“全局”视图中探索呈现的数据(1)。圆形直方图,其中将海拔作为背景色,以及(2)从“本地”视图通过使用散点图矩阵显示特定地理位置和/或时间点/时间段(通过步骤1选择)的多个变量之间的关系来实现。

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