I am using IDW and Kriging in ArcGIS to explore the distribution of forest carbon stock using 183 ground sample points. The data is not normal and there is trend, so I have transformed the data. However after running kriging, the cross-validation result shows root mean square standardized: 0.98, root mean square and average standardized error: 127.7 and 128.89 respectively and the main problem is the predicted and error plot is not 1:1. Can anyone please suggest what can be the issue and how can I address this. Any helpful suggestions will be highly appreciated.
Thanks in advance!