Spatial Feature Transformation

Spatial Feature Transformation is a methodological construct in geospatial feature engineering that formally defines the process of converting raw spatial data into structurally enhanced representations through geometric, topological, or attribute-based operations to improve spatial pattern discernibility and analytical utility.

160

Publications

16.2K

Citations

602

Authors

279

Institutions

Publications per year

2017–2026

112

Authors

602

  1. GL
    Ge Li

    Peking University, China

    3 publications · 315 citations

    3

    h-index

  2. YR
    Yurui Ren

    Peking University, China

    3 publications · 315 citations

    3

    h-index

  3. TH
    Thomas H. Li

    Peking University, China

    3 publications · 315 citations

    3

    h-index

  4. KY
    Ke Yu

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 1.2K citations

    2

    h-index

  5. CD
    Chao Dong

    Shenzhen Institutes of Advanced Technology, China

    2 publications · 1.2K citations

    2

    h-index

1–5 of 602

Venues

  1. IEEE Access

    9 publications · 186 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 993 citations

    7

    h-index

  3. 6

    h-index

  4. IEEE Transactions on Image Processing

    4 publications · 257 citations

    4

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 287 citations

    4

    h-index

1–5