One way to see it is overplotting the
reference spectrum of gypsum on our soil sample set (in this case treated with
Detrend to remove some of the scatter effects). We don´t see it clearly due to
the high quantity of samples, but it seems clearly that are samples with gypsum
on our sample set.
Now we could find some ways to check which
of our samples have higher correlation with the gypsum reference spectrum or
looking other metrics like distances.
Having a reference sample set with gypsum,
calcite, kaolinite, iron oxide, etc, is a good way to explore and play with the data,
overplotting them over our sample set.
In this case due that the reference gypsum
spectrum and the soil sample set are scanned on different NIR instruments, a
common range was used (400 to 2500 nm)
par(new = TRUE)
matplot(wavelength2, mineralRef2, type = "l", col = "red", xlab = "", ylab = "", main = " ", ylim = c(-1.5, 4.0))
abline(v = c(994, 1204, 1445, 1489, 1537, 1748,
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