Multivariate Spatial Covariance

Multivariate Spatial Covariance is a statistical framework that characterizes the joint spatial dependence structure among multiple correlated variables across geographic locations, distinguishing itself from univariate spatial covariance by modeling cross-variable and cross-location covariation simultaneously.

73

Publications

4.9K

Citations

196

Authors

116

Institutions

Publications per year

2017–2026

11

Authors

196

  1. HO
    Hannu Oja

    3 publications · 267 citations

    3

    h-index

  2. MG
    Marc G. Genton

    King Abdullah University of Science and Technology, Saudi Arabia

    3 publications · 248 citations

    3

    h-index

  3. JF
    J. Fernando Vera

    Universidad de Granada, Spain

    2 publications · 37 citations

    2

    h-index

  4. RM
    Rodrigo Macías

    Universidad de Granada, Spain

    2 publications · 37 citations

    2

    h-index

  5. DE
    David E. Tyler

    Rutgers, The State University of New Jersey, United States

    2 publications · 58 citations

    2

    h-index

1–5 of 196

Venues

  1. Journal of Multivariate Analysis

    6 publications · 316 citations

    6

    h-index

  2. Mathematical Geology

    4 publications · 166 citations

    4

    h-index

  3. Biometrika

    3 publications · 118 citations

    3

    h-index

  4. 3

    h-index

  5. 3

    h-index

1–5