Feature Normalization For Spatial Data

Feature Normalization for Spatial Data is a methodological procedure in geospatial feature engineering that systematically scales and transforms spatial attribute values into a common range or distribution to ensure equitable contributions of features in spatial analysis and modeling.

16

Publications

3.1K

Citations

77

Authors

46

Institutions

Publications per year

2017–2026

4

Authors

77

  1. KH
    Karl Herholz

    Max Planck Institute for Metabolism Research, Germany

    2 publications · 181 citations

    2

    h-index

  2. HL
    Hui Lin

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 88 citations

    1

    h-index

  3. CO
    Christopher O'Grady

    Dalhousie University, Canada

    1 publications · 20 citations

    1

    h-index

  4. KS
    Klemens Scheidhauer

    Technical University of Munich, Germany

    1 publications · 154 citations

    1

    h-index

  5. GW
    Guorong Wu

    University of North Carolina at Chapel Hill, United States

    1 publications · 76 citations

    1

    h-index

1–5 of 77

Venues

  1. NeuroImage

    3 publications · 379 citations

    3

    h-index

  2. Human Brain Mapping

    2 publications · 122 citations

    2

    h-index

  3. PubMed

    Repository · 1 publications · 154 citations

    1

    h-index

  4. International Journal of Optics

    IJO · 1 publications · 19 citations

    1

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 1 publications · 21 citations

    1

    h-index

1–5