Distributed Spatial Analysis

Distributed Spatial Analysis is a computational framework within Distributed Geographic Information Systems that enables the processing and analysis of geospatial data across multiple interconnected nodes or locations, distinguished by its ability to handle large-scale spatial datasets through parallelized operations and decentralized resource coordination.

18

Publications

888

Citations

50

Authors

33

Institutions

Publications per year

2017–2026

4

Authors

50

  1. SB
    Seema Bawa

    Thapar Institute of Engineering & Technology, India

    1 publications · 14 citations

    1

    h-index

  2. MB
    Martin Brändli

    Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland

    1 publications · 74 citations

    1

    h-index

  3. CD
    Cristina Dutra de Aguiar Ciferri

    Universidade de São Paulo, Brazil

    1 publications · 12 citations

    1

    h-index

  4. MV
    Marios Vodas

    University of Piraeus, Greece

    1 publications · 55 citations

    1

    h-index

  5. RB
    R. B. V. Subramanyam

    National Institute of Technology Warangal, India

    1 publications · 14 citations

    1

    h-index

1–5 of 50

Venues

  1. IEEE Access

    1 publications · 55 citations

    1

    h-index

  2. Software Practice and Experience

    1 publications · 12 citations

    1

    h-index

  3. Journal of Geovisualization and Spatial Analysis

    JGSA · 1 publications · 45 citations

    1

    h-index

  4. Civil engineering

    ACSE · 1 publications · 87 citations

    1

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 126 citations

    1

    h-index

1–5