The spatial interpolation of temperature from a sparse network
propagates errors in the data over large areas.
Not exact matches
In addition,
error analyses are needed that take into account the analytical and inherent uncertainties of the input
data and
propagate them through the entire inference and reconstruction process.
Incidentally it is evident from this that Newton «fudged» his reported observations to fit his theory of deriving the law of universal gravitation from Kepler's
data reduction, but Newton couldn't have known that the indeterminate
errors of observation
propagated in a systematic was