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    <title>Spatial on Notes</title>
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      <title>Variogram Data Quantization</title>
      <link>https://falk.mielke.ws/posts/43.variogram_data_quantization/</link>
      <pubDate>Sun, 29 Mar 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h1 id=&#34;rationale&#34;&gt;Rationale&lt;/h1&gt;&#xA;&lt;p&gt;I have written extensively about the &lt;a href=&#34;https://tutorials.inbo.be/tutorials/spatial_variograms/&#34;&gt;algorithmic details of the variogram method&lt;/a&gt;. Since then, I had some chance to put those procedures into practice.&lt;/p&gt;&#xA;&lt;p&gt;Among those chances was what might be a rather special corner case. (Or, who knows, maybe not, maybe this data situation is actually quite common.) I was busying myself with &lt;strong&gt;spatially distributed measurements of chemical concentration&lt;/strong&gt;.&lt;/p&gt;&#xA;&lt;p&gt;Soil chemistry. Phosphate. Nitrate. Ammonia. Measurements collected over the past fourty years across all of Flanders. Some of those measurements, particularly phosphate, are commonly (or, historically) quite low in the soil samples. On top of that, our measurement devices turn out to feature a &lt;strong&gt;lower detection limit&lt;/strong&gt;, and therefore &lt;strong&gt;quantized values&lt;/strong&gt;. This has the following consequences.&lt;/p&gt;</description>
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