Product bilateral trade features can be organized and expressed in the Cartesian coordinate system by taking imports and exports as X and Y, which is similar to spatial visualization. Hence, geospatial expression and analysis methodologies can be applied in bilateral trade studies. In this paper, we propose a new digital trade feature map (DTFM) method for the visualization of bilateral trade features from a spatial perspective. The implementation process of DTFM can be summarized as feature extraction, visualization, and analysis. China–US bilateral trade data were used in several case studies. As the case studies show, the DTFM has the advantages of clear expression, easy operationalization and is highly extensible. Moreover, this method can provide a broader perspective for the understanding of trade features, i.e., in comprehensively considering the features of a specific product type and its neighbors. Furthermore, we propose an extensible DTFM application framework into which different trade features, different grid generation modes, and numerous spatial analysis models can be readily integrated.

中文翻译：

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数字贸易特征图：双边贸易空间格局可视化和分析的新方法

产品的双边贸易特征可以通过将进出口作为X和Y来组织和表示在笛卡尔坐标系中，这类似于空间可视化。因此，地理空间表达和分析方法可用于双边贸易研究。在本文中，我们提出了一种新的数字贸易特征图（DTFM）方法，用于从空间角度可视化双边贸易特征。DTFM的实现过程可以概括为特征提取，可视化和分析。在一些案例研究中使用了中美双边贸易数据。如案例研究所示，DTFM具有表达清晰，易于操作且高度可扩展的优点。而且，这种方法可以为理解贸易特征提供更广阔的视野，即 全面考虑特定产品类型及其相邻产品的功能。此外，我们提出了一个可扩展的DTFM应用程序框架，可以轻松地将不同的交易功能，不同的网格生成模式以及众多的空间分析模型集成到其中。