Hi all,
I made a interpolation of contaminated soil data using ordinary kriging but the result of the grid prediction does not match the values displayed by the legend from the minimum value 0.023 to the maximum value 0.99 %. This values represent the measured variable (ratio of the volumes of area of contaminated soil).
For cons, I noticed that the values showned in the legend correspond to the measured values for the interpolation grid generated from the ordinary kriging, not the predicted values. I think the outline grid should reflect the predicted values?
If this is not the case, why the last two classes of the legend (measured values do not appear on the map).
However, when I convert the grid contour to raster map all the values of the map legend are represesented with the corresponding predicted values with a little difference from the last classe of the data range values. The max predicted values from the cross validation indicated a value less high than the one showned in the raster legend. Why?
See attached files of two maps below
Thank you to enlighten me on these issues.
Regards
Solved! Go to Solution.
Hi Tahir,
Please read this topic, as it explains the differences between the classification of geostatistical layers and rasters:
Quick summary: The classification of geostatistical layers is based on the values of the field that was used in the interpolation. After converting to raster, the classifications are based on the histogram of the raster.
Let me know if anything still is not clear.
Hi Tahir,
Please read this topic, as it explains the differences between the classification of geostatistical layers and rasters:
Quick summary: The classification of geostatistical layers is based on the values of the field that was used in the interpolation. After converting to raster, the classifications are based on the histogram of the raster.
Let me know if anything still is not clear.