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Interpolation means the calculation of unknown values between known values of the same variable. The same variable acts as an exploratory variable in the given locations and is in the role of a dependent variable between the given locations. Interpolation is possible in geographical space and in feature space regardless the number of dimensions.
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ID P Question or exercise
3970 1 What is the expected salinity in location given by coordinates 6512659; 474663 if the measured salinity in locations with coordinates 6512029; 468463 and 6513290; 482650 is correspondingly 4.1 ‰ and 0.4 ‰. Let’s use inverse distance weighted interpolation. Open
3937 3
  1. Create an interpolated map using the nearest neighbour interpolation depicting annual the mean amount of precipitation in Estonia.
  2. Which parts of Estonia get more precipitation (rain + snow)?
  3. Why is the region distant from the West and South-West coast although wet Atlantic air currents come mainly from these directions?
4140 3 The worksheet andmeid_pole in the attached file contains names and coordinates of 13 Estonian weather stations with missing snow cover duration data. Predict snow cover duration for these stations using the observed data from other stations in the same worksheet using Inverse distance weighted interpolation.
  1. Present the root mean squared error (RMSE) of this prediction.
  2. Compare values and standard deviations (SD) of predicted and observed values on worksheet andmed_on.
  3. Explain why is variability in observed and interpolated values so different.