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    <title>Yongze Song | Shaoqing Dai</title>
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      <title>Yongze Song</title>
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      <title>Measuring causal strengths from spatial cross-sectional data with geographical cross mapping cardinality</title>
      <link>https://gisersqdai.top/mycv/publication/ijgis-gcmc-causal-strength/</link>
      <pubDate>Tue, 16 Jun 2026 00:00:00 +0000</pubDate>
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&lt;p&gt;&lt;strong&gt;Figure 1. Demonstration of reconstructing embedding for spatial cross-sectional data (top) and schematic diagram of cross mapping in GCMC with the resulting intersectional cardinality (bottom).&lt;/strong&gt;&lt;/p&gt;
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      <title>Causal discovery in urban data with temporal empirical dynamic modeling: The R package tEDM</title>
      <link>https://gisersqdai.top/mycv/publication/ceus-tedm-causal-discovery/</link>
      <pubDate>Mon, 30 Mar 2026 00:00:00 +0000</pubDate>
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&lt;p&gt;&lt;strong&gt;Figure 1. Schematic illustration of empirical dynamic modeling (top) and the standard workflow for causal discovery using the tEDM package (bottom).&lt;/strong&gt;&lt;/p&gt;
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