Geo-referenced Network Visualization

Geo-Referenced Network Visualization is a spatial network visualization technique that integrates geographic reference data to explicitly embed network nodes and edges within their real-world physical locations, thereby enabling the analysis and representation of topological relationships in conjunction with geographic context.

3

Publications

81

Citations

11

Authors

8

Institutions

Publications per year

2017–2026

0

Authors

11

  1. EN
    Evi Nemeth

    University of California San Diego, United States

    1 publications · 29 citations

    1

    h-index

  2. PB
    Paul Barford

    University of Wisconsin–Madison, United States

    1 publications · 22 citations

    1

    h-index

  3. RD
    Ramakrishnan Durairajan

    University of Wisconsin–Madison, United States

    1 publications · 22 citations

    1

    h-index

  4. JF
    Jonathan F. Donges

    Potsdam Institute for Climate Impact Research, Germany

    1 publications · 30 citations

    1

    h-index

  5. RP
    Ram Periakaruppan

    University of Colorado Boulder, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 11

Venues

  1. Nonlinear processes in geophysics

    1 publications · 30 citations

    1

    h-index

1–1