spatial interpolation is used in cartography to obtain a 'best guess' value for missing vaues on a map
To use the interpolate.griddata function for interpolation on your data points, you need to provide the function with your data points, the grid points where you want to interpolate, and the method of interpolation you want to use. The function will then calculate the interpolated values at the grid points based on your data.
when the value of x for which f(y) is to be found lies in the upper part of forward difference table then we use Newton's forward interpolation formula..
To use scipy.interpolate.griddata for interpolation on gridded data, you need to provide the grid points and corresponding values, along with the points where you want to interpolate. The function will then estimate the values at those points using interpolation techniques such as nearest neighbor, linear, or cubic.
interpolation
The interpolation factor is simply the ratio of the output rate to the input
The noun interpolation (determine by comparison) has a normal plural, interpolations.
Advantages over what? For what? Generally linear interpolation is done because one infers that the relationship between points is linear and/or it is the the easiest kind of interpolation. In the absence of data or theory to help you infer the relationship between points the principle of parsimony suggest that use the simplest that gets the job done - linear.
interpolation theorem, discovered by Józef Marcinkiewicz
Interpolation tries to predict where something should be based on previous data, movements or a theory.
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
interpolation, because we are predicting from data in the range used to create the least-squares line.
Matlab has a lot of functions for interpolate, depending on what you're trying to do. You don't need a toolbox for it, either. Type "doc interp1" to get started and navigate the help file from there.