Spatial Data Cleaning

Spatial Data Cleaning is a systematic process within vector data processing that identifies, corrects, and removes geometric and topological inconsistencies, attribute inaccuracies, and positional errors in spatial datasets to ensure data quality and integrity.

41

Publications

1.6K

Citations

163

Authors

94

Institutions

Publications per year

2017–2026

14

Variants

Spatial Data Cleansing

Authors

163

  1. XX
    Xike Xie

    University of Science and Technology of China, China

    2 publications · 65 citations

    2

    h-index

  2. MH
    Mansor H. Ibrahim

    International Islamic University Malaysia, Malaysia

    2 publications · 22 citations

    2

    h-index

  3. ZP
    Zakiah Ponrahono

    Universiti Putra Malaysia, Malaysia

    2 publications · 22 citations

    2

    h-index

  4. TB
    Torben Bach Pedersen

    Aalborg University, Denmark

    2 publications · 65 citations

    2

    h-index

  5. XQ
    Xinlin Qian

    State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China

    2 publications · 28 citations

    2

    h-index

1–5 of 163

Venues

  1. Scientific Data

    2 publications · 174 citations

    2

    h-index

  2. Advances in Mechanical Engineering

    2 publications · 31 citations

    2

    h-index

  3. PLANNING MALAYSIA

    2 publications · 22 citations

    2

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 44 citations

    2

    h-index

  5. 1

    h-index

1–5