Which interpolation method is best?

Hi,

I have a colomn of temperature data in a 4 column width table.

Some of the temp data has NANs - but it is regulary spaced over time.

I want to interpolate the temp data (to fill in the NANs) 4 times using different methods each time

• linear
• spline
• pchip
• makima

I can calculate the variance of each interpolation and compare it to the variance of the original data

The interpolation with the most similar variance will be selected.

Can you suggest code to do this?

Thank you

Answer 1

[Walter Roberson]

Use https://www.mathworks.com/help/matlab/ref/fillmissing.html#bva1z1c-method fillmissing() -- it supports all of the methods you are interested in.