Spatial Feature Engineering

Spatial Feature Engineering is a specialized branch of feature engineering that focuses on the extraction, transformation, and construction of features from spatial or geographic data to improve the performance of machine learning models in location-aware applications.

1K

Publications

60.9K

Citations

3.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

748

Authors

3.9K

  1. MM
    Michael Milford

    Queensland University of Technology, Australia

    7 publications · 350 citations

    7

    h-index

  2. LW
    Lizhen Wang

    Yunnan University, China

    6 publications · 176 citations

    6

    h-index

  3. QY
    Qiang Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    6 publications · 409 citations

    6

    h-index

  4. DT
    Dieu Tien Bui

    Duy Tan University, Vietnam

    5 publications · 686 citations

    5

    h-index

  5. YL
    Yu Liu

    Peking University, China

    5 publications · 327 citations

    5

    h-index

1–5 of 3.9K

Venues

  1. 20

    h-index

  2. arXiv (Cornell University)

    Repository · 33 publications · 1.5K citations

    20

    h-index

  3. Remote Sensing

    30 publications · 1K citations

    20

    h-index

  4. IEEE Access

    23 publications · 1.3K citations

    18

    h-index

  5. Computers Environment and Urban Systems

    16 publications · 728 citations

    16

    h-index

1–5