A theoretically consistent method to estimate the spatial variation of potentiometric surfaces is described. An example of how to select the best estimation method when a number of theoretically consistent methods to estimate spatial variation are available, is described. The method uses a nonstationary component to model the global systematic change and stationarry stochastic component to model the local systematic change of the spatial variation of potentiometric data. It is shown that the stationary stochastic portion improves the accuracy of the estimation model.

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: p. 1569-87
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00490772
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jan 31 1990 12:00AM