Dynamic Spatial Network Analysis

Dynamic Spatial Network Analysis is a formal analytical framework within temporal geospatial analysis that models and examines the evolving topological and spatial relationships in network structures over time, distinguished by its integration of dynamic processes, geographic embedding, and continuous or discrete temporal changes in network connectivity and flow.

22

Publications

1.4K

Citations

82

Authors

47

Institutions

Publications per year

2017–2026

13

Authors

82

  1. SS
    Shih‐Lung Shaw

    University of Tennessee at Knoxville, United States

    1 publications · 58 citations

    1

    h-index

  2. XZ
    Xinyi Zhang

    Beijing University of Technology, China

    1 publications · 16 citations

    1

    h-index

  3. FY
    Faxi Yuan

    Texas A&M University, United States

    1 publications · 38 citations

    1

    h-index

  4. PY
    Peiyu Yi

    Sichuan University, China

    1 publications · 11 citations

    1

    h-index

  5. NT
    Nigel Thrift

    University of Bristol, United Kingdom

    1 publications · 39 citations

    1

    h-index

1–5 of 82

Venues

  1. Journal of Transport Geography

    2 publications · 196 citations

    2

    h-index

  2. 1

    h-index

  3. Science China Physics Mechanics and Astronomy

    1 publications · 28 citations

    1

    h-index

  4. Ecology and Evolution

    1 publications · 13 citations

    1

    h-index

  5. Sustainability

    1 publications · 19 citations

    1

    h-index

1–5