There are several different principles of choosing the data (compositing algorithm). Problems related to cartesian products cause information loss or bias, thus quality indicator fields are necessary when calculating the optimal values of data from two or more radars. There are principles of data selection based on

• choosing the nearest radar
• choosing the radar closest to earth
• choosing maximum and average values
  

All of them have some problems. Most problmetic is the approach related to averaging. Information on elevation angles and radar heights should be available to use any of these principles. One possible solution is based on generating a so called seek matrix, which is in essence a pointer table. The advantage of this method is the fast pace of getting information, but is suitable for supercomputers only due to the considerable amounts of memory required by the matrix and data.