Temporal Resampling

Temporal Resampling is a data transformation technique in time series analysis that involves recalibrating the temporal granularity of observations by aggregating or interpolating values at non-uniform or uniform intervals, thereby altering the temporal resolution while preserving the underlying temporal structure.

15

Publications

598

Citations

46

Authors

31

Institutions

Publications per year

2017–2026

9

Variants

Time Resampling

Authors

46

  1. CW
    Chris Wyman

    University of Iowa, United States

    3 publications · 198 citations

    3

    h-index

  2. WJ
    Wojciech Jarosz

    Walt Disney (United States), United States

    1 publications · 146 citations

    1

    h-index

  3. CL
    Catherine L. Berchok

    NOAA National Marine Fisheries Service Alaska Fisheries Science Center, United States

    1 publications · 23 citations

    1

    h-index

  4. MP
    Matt Pharr

    Nvidia (United States), United States

    1 publications · 146 citations

    1

    h-index

  5. CY
    Cem Yuksel

    University of Utah, United States

    1 publications · 36 citations

    1

    h-index

1–5 of 46

Venues

  1. ACM Transactions on Graphics

    TOG · 2 publications · 182 citations

    2

    h-index

  2. Computer Graphics Forum

    1 publications · 64 citations

    1

    h-index

  3. Ecological Applications

    1 publications · 24 citations

    1

    h-index

  4. Eurographics

    Repository · 1 publications · 16 citations

    1

    h-index

  5. Solar Energy

    1 publications · 28 citations

    1

    h-index

1–5