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    <title>topic Re: Kriged surface showing different scale in Spatial Statistics Questions</title>
    <link>https://community.esri.com/t5/spatial-statistics-questions/kriged-surface-showing-different-scale/m-p/1545570#M2678</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/324156"&gt;@MasoodShaikh&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;Kriging is an "inexact" interpolation method, meaning that the prediction surface does not pass perfectly through the values of the input points and instead has a tendency to smooth predictions (meaning that the range of predictions is usually more narrow than the range of the original data values).&amp;nbsp; The weaker the autocorrelation and the more noisy the data, the more it tends to smooth.&amp;nbsp; For your data, it's likely that you have many locations where high values are very close to low values, and the kriging surface effectively smooths over the highs and lows.&lt;/P&gt;
&lt;P&gt;There are a couple things you can do.&amp;nbsp; First, you can use an interpolation method like Radial Basis Functions (aka splines) or Inverse Distance Weighting that will always honor the range of the input data values.&amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Second, you can disable the Nugget effect of kriging, which will force it to honor the input data range.&amp;nbsp;&amp;nbsp;You can do this on the semivariogram page of the Geostatistical Wizard by changing the “Model Nugget” option to “Disable”.&amp;nbsp; However, not using a nugget effect can often create strange artifacts in the output, so it is generally not recommended.&amp;nbsp; If you do this, pay close attention to strange behavior in the resulting surface.&lt;/P&gt;
&lt;P&gt;-Eric&lt;/P&gt;</description>
    <pubDate>Fri, 04 Oct 2024 13:39:15 GMT</pubDate>
    <dc:creator>EricKrause</dc:creator>
    <dc:date>2024-10-04T13:39:15Z</dc:date>
    <item>
      <title>Kriged surface showing different scale</title>
      <link>https://community.esri.com/t5/spatial-statistics-questions/kriged-surface-showing-different-scale/m-p/1545489#M2677</link>
      <description>&lt;P&gt;I have data points (points shapefile) on the proportion of a certain disease, with values ranging from 0 to 1. After creating a kriged surface, the proportions ranged from 0.043 to 0.756. I need to understand why this discrepancy occurred.&amp;nbsp;&lt;/P&gt;&lt;P&gt;For reporting these findings in a scientific journal, would it be appropriate to use a scale ranging from 0 to 1, with the lowest class being 0.00 to 0.10 and the highest class being 0.70 to 1.00? Additionally, are there any references that explain why a kriged surface can have a different scale and best practices for using them in the map legend?&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;</description>
      <pubDate>Fri, 04 Oct 2024 08:21:24 GMT</pubDate>
      <guid>https://community.esri.com/t5/spatial-statistics-questions/kriged-surface-showing-different-scale/m-p/1545489#M2677</guid>
      <dc:creator>MasoodShaikh</dc:creator>
      <dc:date>2024-10-04T08:21:24Z</dc:date>
    </item>
    <item>
      <title>Re: Kriged surface showing different scale</title>
      <link>https://community.esri.com/t5/spatial-statistics-questions/kriged-surface-showing-different-scale/m-p/1545570#M2678</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/324156"&gt;@MasoodShaikh&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;Kriging is an "inexact" interpolation method, meaning that the prediction surface does not pass perfectly through the values of the input points and instead has a tendency to smooth predictions (meaning that the range of predictions is usually more narrow than the range of the original data values).&amp;nbsp; The weaker the autocorrelation and the more noisy the data, the more it tends to smooth.&amp;nbsp; For your data, it's likely that you have many locations where high values are very close to low values, and the kriging surface effectively smooths over the highs and lows.&lt;/P&gt;
&lt;P&gt;There are a couple things you can do.&amp;nbsp; First, you can use an interpolation method like Radial Basis Functions (aka splines) or Inverse Distance Weighting that will always honor the range of the input data values.&amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Second, you can disable the Nugget effect of kriging, which will force it to honor the input data range.&amp;nbsp;&amp;nbsp;You can do this on the semivariogram page of the Geostatistical Wizard by changing the “Model Nugget” option to “Disable”.&amp;nbsp; However, not using a nugget effect can often create strange artifacts in the output, so it is generally not recommended.&amp;nbsp; If you do this, pay close attention to strange behavior in the resulting surface.&lt;/P&gt;
&lt;P&gt;-Eric&lt;/P&gt;</description>
      <pubDate>Fri, 04 Oct 2024 13:39:15 GMT</pubDate>
      <guid>https://community.esri.com/t5/spatial-statistics-questions/kriged-surface-showing-different-scale/m-p/1545570#M2678</guid>
      <dc:creator>EricKrause</dc:creator>
      <dc:date>2024-10-04T13:39:15Z</dc:date>
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