Bivariate Spatial Autocorrelation

Bivariate Spatial Autocorrelation is a spatial statistical method that measures the degree to which the value of one variable at a given location is correlated with the value of a different variable at neighboring locations, thereby assessing cross-variable spatial dependency while accounting for geographic proximity.

115

Publications

5.5K

Citations

415

Authors

222

Institutions

Publications per year

2017–2026

77

Authors

415

  1. JL
    Jiangfeng Li

    China University of Geosciences, China

    3 publications · 75 citations

    3

    h-index

  2. HY
    Haoran Yu

    Nanjing Forestry University, China

    2 publications · 46 citations

    2

    h-index

  3. JN
    Joy Nystrom Mast

    Northern Arizona University, United States

    2 publications · 91 citations

    2

    h-index

  4. MS
    Matin Shahri

    Iran University of Science and Technology, Iran

    2 publications · 45 citations

    2

    h-index

  5. DA
    Daniel A. Griffith

    The University of Texas at Dallas, United States

    1 publications · 26 citations

    2

    h-index

1–5 of 415

Venues

  1. 7

    h-index

  2. Land

    5 publications · 98 citations

    6

    h-index

  3. Sustainability

    6 publications · 135 citations

    6

    h-index

  4. Ecological Indicators

    5 publications · 232 citations

    6

    h-index

  5. Remote Sensing

    4 publications · 178 citations

    4

    h-index

1–5