Collaborative Spatial Analysis

Collaborative Spatial Analysis is a methodological framework within spatial data science that integrates geospatial analysis techniques with collaborative computing principles to enable multiple analysts to jointly explore, interpret, and reason over spatial phenomena through shared analytical workflows and interactive visual environments.

27

Publications

1.2K

Citations

83

Authors

40

Institutions

Publications per year

2017–2026

15

Authors

83

  1. SW
    Shaowen Wang

    University of Illinois Urbana-Champaign, United States

    4 publications · 347 citations

    4

    h-index

  2. RA
    Rosa Aguilar

    University of Twente, Netherlands

    2 publications · 57 citations

    2

    h-index

  3. YL
    Yan Liu

    University of Illinois Urbana-Champaign, United States

    2 publications · 30 citations

    2

    h-index

  4. AP
    Anand Padmanabhan

    University of Illinois Urbana-Champaign, United States

    2 publications · 30 citations

    2

    h-index

  5. JO
    Juha Oksanen

    Finnish Geospatial Research Institute, Finland

    2 publications · 22 citations

    2

    h-index

1–5 of 83

Venues

  1. 2

    h-index

  2. Transactions in GIS

    2 publications · 22 citations

    2

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 57 citations

    2

    h-index

  4. ARCTIC

    1 publications · 23 citations

    1

    h-index

  5. Computers Environment and Urban Systems

    1 publications · 39 citations

    1

    h-index

1–5