Sequential Indicator Simulation

Sequential Indicator Simulation is a stochastic simulation method in geostatistics that belongs to the family of sequential simulation techniques, distinguished by its use of indicator coding to model categorical variables by sequentially generating realizations conditional on local probability distributions derived from data and spatial continuity patterns.

68

Publications

2.4K

Citations

225

Authors

119

Institutions

Publications per year

2017–2026

14

Authors

225

  1. KH
    Kelin Hu

    China Agricultural University, China

    3 publications · 55 citations

    3

    h-index

  2. EJ
    Emmanuel John M. Carranza

    James Cook University, Australia

    3 publications · 68 citations

    3

    h-index

  3. YH
    Yuanfang Huang

    China Agricultural University, China

    3 publications · 55 citations

    3

    h-index

  4. YH
    Yong He

    China Agricultural University, China

    3 publications · 55 citations

    3

    h-index

  5. DC
    Deli Chen

    The University of Melbourne, Australia

    3 publications · 55 citations

    3

    h-index

1–5 of 225

Venues

  1. 3

    h-index

  2. Natural Resources Research

    NRR · 2 publications · 46 citations

    2

    h-index

  3. Environmental Monitoring and Assessment

    2 publications · 46 citations

    2

    h-index

  4. Chemosphere

    2 publications · 134 citations

    2

    h-index

  5. Soil Research

    2 publications · 47 citations

    2

    h-index

1–5