https://community.esri.com/t5/spatial-statistics-questions/interpret-output-maps-from-generate-trend-raster/m-p/1385372#M2618 R Squared tells you how well the model of the prediction fits the actual. You want as high of an R Squared as possible. Its range should be between 0 and 1 (0% and 100%). Areas with low R squared, you can't trust the predicted raster. Areas with high R squared you can trust more. I don't know anything about RMSE for Temperature Harmonic, so I don't know how to tell you to interpret your result, but based off of the fact that you say for the harmonic that a lower value is a better fit, then I would say the purple is a bad fit, but I feel you need someone in your industry to truly answer that question, however R Squared is works just like it does for Linear Regression in how you interpret it.<BR /> Thu, 22 Feb 2024 12:58:01 GMT EdwardGause 2024-02-22T12:58:01Z https://community.esri.com/t5/spatial-statistics-questions/interpret-output-maps-from-generate-trend-raster/m-p/1385305#M2617 <P>Hi!</P><P>I would like your assistance in interpreting the output maps from Generate Trend Raster (Image Analyst) tool in ArcGIS Pro. In the attached is image of RMSE for temperature harmonic trend, ranging from 0.38 (green) to 1.71 (purple). Usually, the lower the value, the better the fit. But in the image what do the areas in purple tell us? Simillarly for R2, which ranges from 0.08 to 0.89.</P><P>Regards</P> Thu, 22 Feb 2024 06:16:19 GMT https://community.esri.com/t5/spatial-statistics-questions/interpret-output-maps-from-generate-trend-raster/m-p/1385305#M2617 mitchnuh 2024-02-22T06:16:19Z https://community.esri.com/t5/spatial-statistics-questions/interpret-output-maps-from-generate-trend-raster/m-p/1385372#M2618 R Squared tells you how well the model of the prediction fits the actual. You want as high of an R Squared as possible. Its range should be between 0 and 1 (0% and 100%). Areas with low R squared, you can't trust the predicted raster. Areas with high R squared you can trust more. I don't know anything about RMSE for Temperature Harmonic, so I don't know how to tell you to interpret your result, but based off of the fact that you say for the harmonic that a lower value is a better fit, then I would say the purple is a bad fit, but I feel you need someone in your industry to truly answer that question, however R Squared is works just like it does for Linear Regression in how you interpret it.<BR /> Thu, 22 Feb 2024 12:58:01 GMT https://community.esri.com/t5/spatial-statistics-questions/interpret-output-maps-from-generate-trend-raster/m-p/1385372#M2618 EdwardGause 2024-02-22T12:58:01Z