Multiscale Spatial Prediction

Multiscale Spatial Prediction is a spatial prediction framework that integrates data and processes across multiple spatial scales to improve accuracy and generalizability by explicitly modeling scale-dependent patterns and interactions.

14

Publications

404

Citations

57

Authors

32

Institutions

Publications per year

2017–2026

8

Authors

57

  1. LY
    Lele Yao

    Tianjin University, China

    1 publications · 128 citations

    1

    h-index

  2. HL
    Huanjun Liu

    Northeast Institute of Geography and Agroecology, China

    1 publications · 81 citations

    1

    h-index

  3. JZ
    Jun Zhao

    Dalian University of Technology, China

    1 publications · 29 citations

    1

    h-index

  4. WS
    Weidong Sun

    Tsinghua University, China

    1 publications · 128 citations

    1

    h-index

  5. GM
    G. M. McKeon

    Queensland Department of Environment and Science, Australia

    1 publications · 14 citations

    1

    h-index

1–5 of 57

Venues

  1. Remote Sensing of Environment

    2 publications · 98 citations

    2

    h-index

  2. Spatial Statistics

    1 publications · 12 citations

    1

    h-index

  3. 1

    h-index

  4. Computers & Chemical Engineering

    1 publications · 10 citations

    1

    h-index

  5. Journal of Archaeological Method and Theory

    1 publications · 13 citations

    1

    h-index

1–5