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    <title>topic Re: Interpreting Crosscovariance Cloud in ArcGIS GeoStatistical Analyst Questions</title>
    <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/interpreting-crosscovariance-cloud/m-p/645278#M1447</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I took a quick look at your images.&amp;nbsp; For most of them, the crosscovariances are near 0 (or even negative) for short distances.&amp;nbsp; This implies that there is little correlation between the variables.&amp;nbsp; The idea is that for short distances, the variables should have high crosscovariance (indicating that they are correlated).&amp;nbsp; This covariance should decrease as the distance increases until they level out near zero (which indicates that they are no longer correlated).&amp;nbsp; You need to try to identify the distance where these covariances generally become zero.&amp;nbsp; However, it isn't clear to me from those pictures if there is any crosscovariance between the variables at all.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You may be able to better identify the distance you need in the Geostatistical Wizard.&amp;nbsp; Perform cokriging, and look at the crosscovariance view on the semivariogram page.&amp;nbsp; This graph won't have as many points as the cloud, and it will try to fit a covariance model automatically.&amp;nbsp; Whatever Major Range is estimated should be a good estimate of the range of crosscovariance between the variables.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 02 Apr 2018 19:14:30 GMT</pubDate>
    <dc:creator>EricKrause</dc:creator>
    <dc:date>2018-04-02T19:14:30Z</dc:date>
    <item>
      <title>Interpreting Crosscovariance Cloud</title>
      <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/interpreting-crosscovariance-cloud/m-p/645277#M1446</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello User Community,&lt;/P&gt;&lt;P&gt;I have some difficulty in order to interpret the meaning of these results. (results have been attached)&lt;/P&gt;&lt;P&gt;I want to use this correlation between each two variables in order to determine the range, the maximum distance that two variables correlate with each other. But I don’t know how can i get it by &lt;SPAN&gt;crosscovariance &lt;/SPAN&gt;cloud!&lt;/P&gt;&lt;P&gt;I would be grateful if you could help me to overcome this problem.&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 02 Apr 2018 17:05:03 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/interpreting-crosscovariance-cloud/m-p/645277#M1446</guid>
      <dc:creator>MohsenYsf</dc:creator>
      <dc:date>2018-04-02T17:05:03Z</dc:date>
    </item>
    <item>
      <title>Re: Interpreting Crosscovariance Cloud</title>
      <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/interpreting-crosscovariance-cloud/m-p/645278#M1447</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I took a quick look at your images.&amp;nbsp; For most of them, the crosscovariances are near 0 (or even negative) for short distances.&amp;nbsp; This implies that there is little correlation between the variables.&amp;nbsp; The idea is that for short distances, the variables should have high crosscovariance (indicating that they are correlated).&amp;nbsp; This covariance should decrease as the distance increases until they level out near zero (which indicates that they are no longer correlated).&amp;nbsp; You need to try to identify the distance where these covariances generally become zero.&amp;nbsp; However, it isn't clear to me from those pictures if there is any crosscovariance between the variables at all.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You may be able to better identify the distance you need in the Geostatistical Wizard.&amp;nbsp; Perform cokriging, and look at the crosscovariance view on the semivariogram page.&amp;nbsp; This graph won't have as many points as the cloud, and it will try to fit a covariance model automatically.&amp;nbsp; Whatever Major Range is estimated should be a good estimate of the range of crosscovariance between the variables.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 02 Apr 2018 19:14:30 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/interpreting-crosscovariance-cloud/m-p/645278#M1447</guid>
      <dc:creator>EricKrause</dc:creator>
      <dc:date>2018-04-02T19:14:30Z</dc:date>
    </item>
    <item>
      <title>Re: Interpreting Crosscovariance Cloud</title>
      <link>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/interpreting-crosscovariance-cloud/m-p/645279#M1448</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Eric,&lt;BR /&gt; &lt;BR /&gt; Thanks for being willing to take a look at my images. I was struggling to comprehend the Crosscovariance Cloud results.&amp;nbsp;Your answer was very helpful.&lt;BR /&gt; Regards, Mohsen.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 03 Apr 2018 13:17:11 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-geostatistical-analyst-questions/interpreting-crosscovariance-cloud/m-p/645279#M1448</guid>
      <dc:creator>MohsenYsf</dc:creator>
      <dc:date>2018-04-03T13:17:11Z</dc:date>
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