Obtaining values for each cell in a raster is difficult. Therefore, sample data points are used to derive the intervening values. The methods of constructing new data points within the range of provided sample data points are called interpolation method. Interpolation works on the principle of using known data to estimate values at unknown points. Using the various interpolation methods we estimate the values at intermediate points between sample points.
A number of interpolation methods can be used to create raster surface from the point data. Some methods are more appropriate for equally spaced data with smooth changes between points values, while other methods are designed to handle disperse and clustered points, with large jumps in data values.
The differences among various interpolation methods are in the mathematical algorithms that are used to compute the weights for the points during interpolation. Each interpolation method produces a different representation of your data. It is advisable to test your data with each method to determine the best interpolation method for your data.
MapInfo Pro Advanced simplifies the process of creating raster data from points by way of automatically analyzing the spacing and distribution of the input data and computing a set of default parameters. This enables you to quickly create a raster from any point data with only a minimum of steps. The basic options provide sufficient default settings to create a raster, however, you can override the default interpolation settings to meet your needs.
For example, if you wish or need to change any of the parameters and specify an exact cell size, search radius, search weighting model etc., then you can easily do so with the advanced options provided on the Create Raster dialog box. You can click More Options to specify advanced parameters.
MapInfo Pro Advanced provides the following interpolation methods: