Extension of geostatistics options in Petrosys gridding.

The gridding method of kriging has been significantly upgraded to include the ability to produce variogram maps and model anisotropy. This allows directional trend analysis of the data and more accurate gridding of features such as river systems, dunes and mountain ranges which are directional in nature. Anisotropy can also be used with kriging with external drift, allowing the user enhanced control over the interpolation process.

Other improvements include:

  • Improved 'Refine fit' options to fine tune the theorectical <!-- @page { margin: 2cm } P { margin-bottom: 0.21cm } --> to experimental variogram fit;
  • Improved controls for constraining and refining the sill, range and/or nugget;
  • Data analysis may now be displayed as a histogram or a map views; and
  • Improved output of error grids and asscoiated uncertainty anaylsis.

Big grids and improved performance + scaling.

In response to a shift to larger and more detailed project areas, Petrosys now supports very large grids, lifting the previous 2GB file size constraint. Grids can be maintained in decimal degree cell sizes and the enhancements can be applied to compute and store super-regional grids. A streamlining of our Grid/Import-XYZ allows this to be used in scripting the import of large data sets, such as Lidar. We have matched the increased grid data volume with a three to one or better improvement in the speed of our by-cell contour computation.

Directionally sensitive contours.

New directionally sensitive contours enable the use of 'up-side/down-side' contour styles to improve map readability, whilst also enhancing the alignment of contour labels.

 



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