Radiance-based Visualization

Radiance-Based Visualization is a visualization method that uses radiance, or the measure of electromagnetic flux per unit area and solid angle, as the fundamental quantity to accurately represent light distribution and luminous phenomena in architectural and environmental daylighting simulations.

3

Publications

54

Citations

9

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

9

  1. DW
    David W. Robertson

    Eli Lilly (United States), United States

    1 publications · 13 citations

    1

    h-index

  2. SL
    Stephen Lau

    Lawrence Berkeley National Laboratory, United States

    1 publications · 13 citations

    1

    h-index

  3. MK
    Maria Konstantoglou

    1 publications · 15 citations

    1

    h-index

  4. AI
    Alexa I. Ruppertsberg

    University of Bradford, United Kingdom

    1 publications · 26 citations

    1

    h-index

  5. KC
    Kevin Campbell

    Lawrence Berkeley National Laboratory, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 9

Institutions

3

  1. University of Bradford

    Bradford, United Kingdom

    1 h-index

    2 publications

    52 citations

  2. University of California, Berkeley

    Berkeley, United States

    1 h-index

    4 publications

    52 citations

  3. Lawrence Berkeley National Laboratory

    Berkeley, United States

    1 h-index

    4 publications

    52 citations

1–3 of 3

Venues

  1. 1

    h-index

  2. Behavior Research Methods

    BRM · 1 publications · 26 citations

    1

    h-index

1–2