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    <title>topic Spatial autocorrelation and RMSE in ArcGIS Pro Questions</title>
    <link>https://community.esri.com/t5/arcgis-pro-questions/spatial-autocorrelation-and-rmse/m-p/1065975#M41755</link>
    <description>&lt;P&gt;I have a time series with two maps that represent forest cover in two different years. I have created a continues raster surface that represents deforestation rates based on zonal (Moving window) statics calculation using different windows sizes for testing. I have divided the raster map into several grids of 10x10 kms. I want to use the RMSE to evaluate my model performance.&lt;/P&gt;&lt;P&gt;When the surface is divided into grids, I can obtain a sample of thousands of grids. I want to evaluate the accuracy of the maps with another historical deforestation period.&lt;/P&gt;&lt;P&gt;Do I need to have samples that are not spatially autocorrelated, instead of using all the grids that I have to evaluate the RMSE of the models?&lt;/P&gt;&lt;P&gt;Or can I calculate the RMSE of the models with all the grids and without considering that the data are highly spatially autocorrelated?&lt;/P&gt;&lt;P&gt;In other words, does the RMSE require non spatially autocorrelated samples?&lt;/P&gt;</description>
    <pubDate>Tue, 08 Jun 2021 13:26:37 GMT</pubDate>
    <dc:creator>Juan_FelipeVillegas</dc:creator>
    <dc:date>2021-06-08T13:26:37Z</dc:date>
    <item>
      <title>Spatial autocorrelation and RMSE</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/spatial-autocorrelation-and-rmse/m-p/1065975#M41755</link>
      <description>&lt;P&gt;I have a time series with two maps that represent forest cover in two different years. I have created a continues raster surface that represents deforestation rates based on zonal (Moving window) statics calculation using different windows sizes for testing. I have divided the raster map into several grids of 10x10 kms. I want to use the RMSE to evaluate my model performance.&lt;/P&gt;&lt;P&gt;When the surface is divided into grids, I can obtain a sample of thousands of grids. I want to evaluate the accuracy of the maps with another historical deforestation period.&lt;/P&gt;&lt;P&gt;Do I need to have samples that are not spatially autocorrelated, instead of using all the grids that I have to evaluate the RMSE of the models?&lt;/P&gt;&lt;P&gt;Or can I calculate the RMSE of the models with all the grids and without considering that the data are highly spatially autocorrelated?&lt;/P&gt;&lt;P&gt;In other words, does the RMSE require non spatially autocorrelated samples?&lt;/P&gt;</description>
      <pubDate>Tue, 08 Jun 2021 13:26:37 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/spatial-autocorrelation-and-rmse/m-p/1065975#M41755</guid>
      <dc:creator>Juan_FelipeVillegas</dc:creator>
      <dc:date>2021-06-08T13:26:37Z</dc:date>
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    <item>
      <title>Re: Spatial autocorrelation and RMSE</title>
      <link>https://community.esri.com/t5/arcgis-pro-questions/spatial-autocorrelation-and-rmse/m-p/1066189#M41776</link>
      <description>&lt;P&gt;Not clear that I follow.&amp;nbsp;&lt;/P&gt;&lt;P&gt;If you have two maps that show forest cover in two different years, what does the difference look like.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 08 Jun 2021 21:36:40 GMT</pubDate>
      <guid>https://community.esri.com/t5/arcgis-pro-questions/spatial-autocorrelation-and-rmse/m-p/1066189#M41776</guid>
      <dc:creator>DanPatterson</dc:creator>
      <dc:date>2021-06-08T21:36:40Z</dc:date>
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