Density Pattern Analysis

Density Pattern Analysis is a methodological framework within spatial data science that identifies, quantifies, and interprets the systematic spatial arrangements and variations in the concentration of entities or phenomena across a defined geographic domain.

58

Publications

3.9K

Citations

171

Authors

94

Institutions

Publications per year

2017–2026

22

Authors

171

  1. RR
    Rafael R. Adamczuk

    Leibniz University Hannover, Germany

    2 publications · 26 citations

    2

    h-index

  2. MK
    Manfred Kaib

    University of Bayreuth, Germany

    1 publications · 30 citations

    1

    h-index

  3. AS
    Alberto Satta

    University of Sassari, Italy

    1 publications · 11 citations

    1

    h-index

  4. TH
    Tingting He

    Zhejiang University, China

    1 publications · 37 citations

    1

    h-index

  5. HY
    Haifeng Yang

    Taiyuan University of Science and Technology, China

    1 publications · 15 citations

    1

    h-index

1–5 of 171

Venues

  1. Data Mining and Knowledge Discovery

    1 publications · 73 citations

    2

    h-index

  2. Ocean Engineering

    2 publications · 122 citations

    2

    h-index

  3. Environment and Planning A Economy and Space

    2 publications · 35 citations

    2

    h-index

  4. Neurocomputing

    2 publications · 207 citations

    2

    h-index

  5. Journal of Petroleum Science and Engineering

    1 publications · 13 citations

    1

    h-index

1–5