Spatial Statistics

Spatial statistics is an applied statistical field that analyzes spatially referenced data while quantifying uncertainty and modeling the statistical dependence among observations distributed across geographic space.

25.2K

Publications

1.9M

Citations

53.3K

Authors

8.8K

Institutions

Publications per year

2017–2026

6.9K

Authors

53.3K

  1. DA
    Daniel A. Griffith

    The University of Texas at Dallas, United States

    111 publications · 9.8K citations

    48

    h-index

  2. LA
    Luc Anselin

    Arizona State University, United States

    57 publications · 29.9K citations

    45

    h-index

  3. NC
    Noel Cressie

    Iowa State University, United States

    89 publications · 25.9K citations

    45

    h-index

  4. AS
    A. Stewart Fotheringham

    Arizona State University, United States

    50 publications · 14.5K citations

    41

    h-index

  5. PJ
    Peter J. Diggle

    Lancaster University, United Kingdom

    56 publications · 6.9K citations

    38

    h-index

1–5 of 53.3K

Venues

  1. Journal of the American Statistical Association

    422 publications · 61.4K citations

    108

    h-index

  2. Water Resources Research

    280 publications · 24.4K citations

    87

    h-index

  3. Geographical Analysis

    297 publications · 49.3K citations

    82

    h-index

  4. Biometrika

    232 publications · 27.2K citations

    74

    h-index

  5. Biometrics

    208 publications · 29.4K citations

    73

    h-index

1–5

See also

Spatial Statistics

Core Methods

Dependence Models

Data Types

Applications

Assumptions