Spatial interpolation of particle-size distributions is performed using particle-size data that has already been optimized by 9. OPTIMIZE PARTICLE-SIZE DATA.

Spatial interpolation in Matlab uses one of five algorithms:
      • Natural Neighbour
      • Nearest Neighbour
      • Linear
      • Cubic Spline
      • Krigging - ordinary kriging with automated variogram modelling

Pre-processing steps allow you to apply these model transforms before the data are interpolated:

    • Model vertical (z) trends: model and remove linear trends in particle-size data in the vertical plane

    • Model horizontal (x-y) trends: model and remove linear or quadratic trends in particle-size data in the horizontal plane

    • Normalise data: convert data or residuals to Gaussian distribution

The Particle-Size Toolbox performs interpolation in several steps. These are broken up by geological model files, then by geology types and finally into each component of the optimized particle-size data:

      • Geological model
        • Geology type
          • Component number

Interpolated estimates are saved in a new Matlab data file called: 'Interpolated_estimates_geologicalmodel_.mat'
in the PST project directory 'MyProjectName\Data\Model\Results'.