Probability Density Mapping

Probability Density Mapping is a geospatial uncertainty modeling method that represents the spatial distribution of uncertainty by assigning probability density values to geographic locations, distinguishing itself through its capacity to quantify the likelihood of positional or attribute variability within continuous geographic space.

77

Publications

4.7K

Citations

304

Authors

158

Institutions

Publications per year

2017–2026

24

Authors

304

  1. AS
    Alexander Steingaß

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 27 citations

    2

    h-index

  2. TS
    Thomas Strang

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 27 citations

    2

    h-index

  3. BD
    Bita Darvish Rouhani

    University of California San Diego, United States

    2 publications · 248 citations

    2

    h-index

  4. PR
    Patrick Robertson

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 27 citations

    2

    h-index

  5. VL
    Vera Leatitia Mulder

    Wageningen University & Research, Netherlands

    2 publications · 75 citations

    2

    h-index

1–5 of 304

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 3 publications · 526 citations

    3

    h-index

  2. Physical Review Letters

    PRL · 2 publications · 567 citations

    2

    h-index

  3. Physics of Fluids

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. Atherosclerosis

    1 publications · 26 citations

    1

    h-index

1–5