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Midwest | Correct, you could have 2 squares with final normalized values of 85. One could have yields at the 85% mark every year. (pretty good every year) The other square could have single year values of 99, 42, 88, and 79 which might average 85. (single years of very good to below average)
That's why it gives you the CV values I mentioned earlier as well to show the variation between years for each square. The CV for the 85 each year square would be 0 or nearly zero. (very consistent) The CV for the 2nd example might be 0.4 or something higher. (CV's are from 0-1)
Most people say a CV of 0.1 or 0.2 is the cut-off value between "consistent" and "inconsistent". Under that value = consistent, over that cut-off is inconsistent. CV of 0.01 is very consistent, CV of 0.56 means the values were all over the board. | |
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normalization of data
