Constrained interpolation and qualitative information-the soft kriging approach

Journal Article · Tue Apr 01 04:00:00 EST 1986 · Math. Geol.; (United States)

DOI:https://doi.org/10.1007/BF00898032· OSTI ID:7176117

Journel, A G

Traditional interpolation algorithms, including krigings, do not account for inequality-type data less subjective qualitative information. Soft kriging formalism allows a coding of both hard data and constraint intervals as prior Cumulative Distribution Functions (CDFS) which are interpolated into posterior CDFS. Non-Gaussian confidence intervals and various ''optimal'' estimates then are derived. A synthetic case study is presented.

• Research Organization: Stanford Univ., Stanford, CA
• OSTI ID: 7176117
• Journal Information: Math. Geol.; (United States), Journal Name: Math. Geol.; (United States) Vol. 18:3; ISSN MATGE
• Country of Publication: United States
• Language: English

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