Feature Construction For Spatial Data

Feature Construction for Spatial Data is a methodological framework within spatial feature engineering that systematically generates novel spatial attributes from raw geographic inputs by explicitly capturing spatial dependencies, configurations, and relationships through mathematical or computational transformations.

8

Publications

4.9K

Citations

26

Authors

14

Institutions

Publications per year

2017–2026

8

Authors

26

  1. GB
    Geoff Boeing

    University of Southern California, United States

    2 publications · 36 citations

    2

    h-index

  2. ZW
    Zhengyang Wei

    Wuhan University, China

    1 publications · 33 citations

    1

    h-index

  3. JY
    Jining Yan

    China University of Geosciences, China

    1 publications · 13 citations

    1

    h-index

  4. AG
    Akash Goel

    Galgotias University, India

    1 publications · 241 citations

    1

    h-index

  5. YM
    Yan Ma

    Chinese Academy of Sciences, China

    1 publications · 13 citations

    1

    h-index

1–5 of 26

Venues

  1. 1

    h-index

  2. Spatial Information Research

    1 publications · 241 citations

    1

    h-index

  3. Geo-spatial Information Science

    1 publications · 33 citations

    1

    h-index

  4. Applied Energy

    1 publications · 37 citations

    1

    h-index

  5. Computing

    1 publications · 13 citations

    1

    h-index

1–5