Tiling Schemes

Tiling Schemes is a methodological framework in raster data processing that systematically partitions large spatial datasets into smaller, manageable tiles according to predefined spatial referencing rules, enabling efficient storage, retrieval, and computational performance in geospatial applications.

176

Publications

7.6K

Citations

455

Authors

276

Institutions

Publications per year

2017–2026

29

Authors

455

  1. RA
    Rumen Andonov

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    4 publications · 125 citations

    4

    h-index

  2. SR
    Sanjay Rajopadhye

    Colorado State University, United States

    4 publications · 164 citations

    4

    h-index

  3. DF
    Dirk Frettlöh

    Bielefeld University, Germany

    4 publications · 70 citations

    4

    h-index

  4. HY
    Hanwen Yu

    University of Electronic Science and Technology of China, China

    3 publications · 159 citations

    3

    h-index

  5. KL
    Ka‐Sing Lau

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 63 citations

    3

    h-index

1–5 of 455

Venues

  1. Discrete & Computational Geometry

    14 publications · 475 citations

    11

    h-index

  2. Geometriae Dedicata

    5 publications · 323 citations

    5

    h-index

  3. Theoretical Computer Science

    5 publications · 136 citations

    5

    h-index

  4. IEEE Transactions on Image Processing

    4 publications · 148 citations

    4

    h-index

  5. Optics Express

    4 publications · 140 citations

    4

    h-index

1–5