Spatial Data Analysis

Spatial Data Analysis is a quantitative analytical method that examines geographically-referenced or location-based data to uncover spatial patterns, relationships, and trends through the integration of statistical techniques and computational modeling.

10.4K

Publications

688.1K

Citations

27.8K

Authors

5.3K

Institutions

Publications per year

2017–2026

3.9K

Authors

27.8K

  1. NC
    Noel Cressie

    Iowa State University, United States

    29 publications · 14.4K citations

    23

    h-index

  2. LA
    Luc Anselin

    Arizona State University, United States

    24 publications · 7.8K citations

    22

    h-index

  3. SS
    Shashi Shekhar

    University of Minnesota, United States

    24 publications · 1.4K citations

    21

    h-index

  4. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    24 publications · 1.9K citations

    21

    h-index

  5. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    24 publications · 1.9K citations

    21

    h-index

1–5 of 27.8K

Venues

  1. 58

    h-index

  2. Journal of the American Statistical Association

    90 publications · 10.8K citations

    48

    h-index

  3. Geographical Analysis

    110 publications · 13.5K citations

    46

    h-index

  4. PLoS ONE

    105 publications · 7.2K citations

    43

    h-index

  5. Computers Environment and Urban Systems

    94 publications · 5.2K citations

    42

    h-index

1–5

See also

Spatial Data Analysis

Core Methods

Applications

Data Sources

Limitations

Software Tools