Hierarchical Spatial Pattern Analysis

Hierarchical Spatial Pattern Analysis is a methodological framework within multi-scale pattern analysis that explicitly models spatial hierarchies by decomposing geographic phenomena into nested scales or levels, where each level represents a distinct spatial resolution or organizational stratum, thereby enabling the detection, representation, and interpretation of scale-dependent spatial structures and processes.

25

Publications

886

Citations

86

Authors

59

Institutions

Publications per year

2017–2026

8

Authors

86

  1. MB
    Marija Bogataj

    University of Ljubljana, Slovenia

    1 publications · 25 citations

    1

    h-index

  2. JI
    Janine Illian

    University of St Andrews, United Kingdom

    1 publications · 71 citations

    1

    h-index

  3. VR
    Valérie R. Louis

    Heidelberg University, Germany

    1 publications · 54 citations

    1

    h-index

  4. JR
    Joacim Rocklöv

    Umeå University, Sweden

    1 publications · 54 citations

    1

    h-index

  5. JM
    Jesper Møller

    Aalborg University, Denmark

    1 publications · 71 citations

    1

    h-index

1–5 of 86

Venues

  1. 2

    h-index

  2. Land

    2 publications · 31 citations

    2

    h-index

  3. Environment and Planning A Economy and Space

    1 publications · 66 citations

    1

    h-index

  4. 1

    h-index

  5. Sustainable Cities and Society

    1 publications · 75 citations

    1

    h-index

1–5