Real-time Spatial Data Processing

Real-Time Spatial Data Processing is a computational framework within Distributed Geographic Information Systems that enables the continuous, low-latency analysis and transformation of geospatial data streams as they are acquired, distinguished by its strict temporal constraints and synchronization with dynamic real-world phenomena.

32

Publications

1.1K

Citations

121

Authors

57

Institutions

Publications per year

2017–2026

17

Authors

121

  1. VP
    Varun Pandey

    Technical University of Munich, Germany

    2 publications · 35 citations

    2

    h-index

  2. YT
    Yongxin Tong

    Beihang University, China

    2 publications · 255 citations

    2

    h-index

  3. TN
    Thomas Neumann

    Technical University of Munich, Germany

    2 publications · 35 citations

    2

    h-index

  4. SH
    Stefan Herlé

    RWTH Aachen University, Germany

    2 publications · 55 citations

    2

    h-index

  5. AK
    Andreas Kipf

    Technical University of Munich, Germany

    2 publications · 35 citations

    2

    h-index

1–5 of 121

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 306 citations

    3

    h-index

  2. ISPRS International Journal of Geo-Information

    IJGI · 3 publications · 69 citations

    3

    h-index

  3. Multimedia Systems

    1 publications · 79 citations

    1

    h-index

  4. Sustainable Cities and Society

    1 publications · 80 citations

    1

    h-index

  5. Spatial Information Research

    1 publications · 21 citations

    1

    h-index

1–5