Multivariate Resource Estimation

Multivariate Resource Estimation is a statistical methodology within resource estimation that integrates multiple correlated variables to improve the accuracy and reliability of mineral or energy resource assessments by accounting for spatial and geological interdependencies among diverse geoscientific data types.

10

Publications

398

Citations

16

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

16

  1. MS
    Martin Swany

    University of Delaware, United States

    2 publications · 140 citations

    2

    h-index

  2. RW
    Rich Wolski

    University of California, Santa Barbara, United States

    2 publications · 140 citations

    2

    h-index

  3. GP
    Guocheng Pan

    University of Arizona, United States

    2 publications · 29 citations

    2

    h-index

  4. CF
    C. F. Chung

    Geological Survey of Canada, Canada

    1 publications · 149 citations

    1

    h-index

  5. RG
    Ritu Gupta

    All India Institute of Medical Sciences, India

    1 publications · 17 citations

    1

    h-index

1–5 of 16

Venues

  1. Mathematical Geology

    2 publications · 163 citations

    2

    h-index

  2. UA Campus Repository (The University of Arizona)

    Repository · 1 publications · 15 citations

    1

    h-index

  3. Geoforum

    1 publications · 19 citations

    1

    h-index

  4. Journal of Mining Science

    1 publications · 12 citations

    1

    h-index

  5. AAPG Bulletin

    1 publications · 13 citations

    1

    h-index

1–5