Spatiotemporal Data Alignment

Spatiotemporal Data Alignment is a computational method that synchronizes and registers geospatial data across both spatial and temporal dimensions to ensure consistency and correspondence in the integrated analysis of Global Positioning System data.

9

Publications

1.1K

Citations

25

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

25

  1. PS
    Peter Sand

    Massachusetts Institute of Technology, United States

    2 publications · 163 citations

    2

    h-index

  2. ST
    Seth Teller

    Massachusetts Institute of Technology, United States

    2 publications · 163 citations

    2

    h-index

  3. LS
    Long Sha

    Queensland University of Technology, Australia

    1 publications · 14 citations

    1

    h-index

  4. GW
    Guanfeng Wang

    National University of Singapore, Singapore

    1 publications · 43 citations

    1

    h-index

  5. YL
    Yin Lou

    Microsoft (United States), United States

    1 publications · 784 citations

    1

    h-index

1–5 of 25

Venues

  1. 1

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  2. Atmospheric Environment

    1 publications · 33 citations

    1

    h-index

  3. Vision Research

    1 publications · 18 citations

    1

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 144 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

1–5