Geospatial Dimensionality Reduction

Geospatial Dimensionality Reduction is a methodological framework within geospatial feature engineering that reduces the number of redundant or irrelevant spatial and attribute dimensions in geospatial data while preserving essential geographic patterns and relationships.

16

Publications

453

Citations

66

Authors

47

Institutions

Publications per year

2017–2026

11

Authors

66

  1. FB
    François Brissette

    École de Technologie Supérieure, Canada

    1 publications · 27 citations

    1

    h-index

  2. LH
    Lei Hao

    Xi'an Jiaotong University, China

    1 publications · 24 citations

    1

    h-index

  3. FC
    Frank Canters

    Vrije Universiteit Brussel, Belgium

    1 publications · 62 citations

    1

    h-index

  4. KB
    Kimiko Barrett

    University of Montana, United States

    1 publications · 66 citations

    1

    h-index

  5. EB
    Erwin Beck

    University of Bayreuth, Germany

    1 publications · 57 citations

    1

    h-index

1–5 of 66

Venues

  1. Remote Sensing

    2 publications · 56 citations

    2

    h-index

  2. 1

    h-index

  3. Tectonics

    1 publications · 11 citations

    1

    h-index

  4. Advances in Water Resources

    1 publications · 27 citations

    1

    h-index

  5. Ecological Informatics

    1 publications · 57 citations

    1

    h-index

1–5