(Yield) Maps - StellarSupport - John Deere

JDOffice 1.2
Normalized legends are used to compare the productivity of a field from one
year to another. In order to visually see this land comparison, two or more
years worth of data for the same field is needed. Normalized maps are only
used to compare land - they are not crop dependant.
When a normalized legend is applied, (Normalized) will appear in the layer
name in the Layers chooser. Unlike other maps, normalized maps cannot be
added to the Layers chooser - they can only be viewed when a normalized
legend is applied to an active yield or moisture point layer.
Normalized data quickly shows the average distribution of a field’s yield data.
A normal distribution of data means that most yield points will be close to the
“average” bushels per acre (found by selecting the Field Information button),
while a few yield sites will tend to fall above or below the average.
When comparing printed normalized maps for multiple years (or different
crops), you can quickly tell which areas of your fields are consistently
producing above - and below - average. If your goal is to have your entire field
average at least n bu/acre (per crop), and you have areas regularly producing
less, you know something needs to be done to improve the land. In this case,
your first step may be to consult with an agronomist or crop consultant for
assistance.
Because you are looking for not only the average, but also for the values that
fall above and below the average, it may be easier to use legends that contain
an odd number of increment colors. For example, if your legend uses five
colors, you know that average will be the middle color, and that the two colors
above the middle color in the legend will represent higher than average yield,
and the two colors below it will represent below average yield.
In addition to defining the number of color breaks, you also need to choose the
measuring value: percentages or standard deviation (a statistical
measurement). Either value will create the same results; use the one that you
are comfortable with:
• If you choose to use percentages, the average yield of a field is set to
a value of a 100. Any yield data that is better than average is given a
percentage value greater than 100, and any yield data that is below
average is given a percentage value less than 100.
• If you choose to use standard deviation (σ), the
MEAN
average yield of a field is set as the mean. JDOffice
then disperses the data above and below the mean
into deviations. In the bell shape curve below, the
center line is the mean. Each color bar on either
side of the mean represents one standard deviation from the mean;
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