Multivariate Spatial Analysis

Multivariate Spatial Analysis is a spatial analysis methodology that integrates multiple interrelated variables to examine their joint spatial patterns, dependencies, and heterogeneities across geographic space, distinguishing it from univariate or bivariate spatial techniques by accounting for multidimensional spatial covariance structures.

922

Publications

53.1K

Citations

3.1K

Authors

1.3K

Institutions

Publications per year

2017–2026

227

Authors

3.1K

  1. PN
    Peter Nijkamp

    Vrije Universiteit Amsterdam, Netherlands

    6 publications · 253 citations

    6

    h-index

  2. MF
    Montserrat Fuentes

    North Carolina State University, United States

    5 publications · 130 citations

    5

    h-index

  3. HO
    Hannu Oja

    5 publications · 481 citations

    5

    h-index

  4. LS
    Luca Salvati

    Università degli Studi della Tuscia, Italy

    5 publications · 351 citations

    5

    h-index

  5. MC
    Margherita Carlucci

    Sapienza University of Rome, Italy

    4 publications · 164 citations

    4

    h-index

1–5 of 3.1K

Venues

  1. PLoS ONE

    13 publications · 532 citations

    12

    h-index

  2. Geographical Analysis

    13 publications · 1.1K citations

    12

    h-index

  3. Geoderma

    10 publications · 350 citations

    10

    h-index

  4. Environmental Monitoring and Assessment

    9 publications · 351 citations

    9

    h-index

  5. Environmental Earth Sciences

    8 publications · 952 citations

    8

    h-index

1–5