Spatiotemporal Data Analysis

Spatiotemporal Data Analysis is a computational and statistical methodology within the broader domain of environmental data analysis that integrates spatial and temporal dimensions to model, analyze, and interpret patterns, processes, and dynamics of phenomena distributed across both space and time.

778

Publications

42K

Citations

2.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

413

Authors

2.9K

  1. GC
    George Christakos

    San Diego State University, United States

    9 publications · 472 citations

    9

    h-index

  2. QL
    Qingquan Li

    Shenzhen University, China

    5 publications · 169 citations

    5

    h-index

  3. AB
    Adrian Bowman

    University of Glasgow, United Kingdom

    5 publications · 134 citations

    5

    h-index

  4. DS
    David S. Ebert

    Purdue University West Lafayette, United States

    4 publications · 465 citations

    4

    h-index

  5. RM
    Ross Maciejewski

    Arizona State University, United States

    4 publications · 465 citations

    4

    h-index

1–5 of 2.9K

Venues

  1. 20

    h-index

  2. Environmetrics

    15 publications · 555 citations

    14

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 14 publications · 358 citations

    13

    h-index

  4. Transactions in GIS

    9 publications · 615 citations

    9

    h-index

  5. arXiv (Cornell University)

    Repository · 9 publications · 401 citations

    9

    h-index

1–5