Geostatistical Salinity Mapping

Geostatistical Salinity Mapping is a geospatial interpolation methodology that employs statistical models based on spatial autocorrelation to predict and map the distribution of soil or water salinity across continuous geographic domains.

12

Publications

506

Citations

45

Authors

24

Institutions

Publications per year

2017–2026

3

Authors

45

  1. BF
    Benjamin F. Zaitchik

    Johns Hopkins University, United States

    1 publications · 50 citations

    1

    h-index

  2. MJ
    Matthew J. Hoffman

    Rochester Institute of Technology, United States

    1 publications · 50 citations

    1

    h-index

  3. XZ
    Xiaolei Zhang

    University of Strathclyde, United Kingdom

    1 publications · 40 citations

    1

    h-index

  4. GC
    G. C. Slessar

    1 publications · 12 citations

    1

    h-index

  5. SY
    Shipeng Yu

    Siemens (Germany), Germany

    1 publications · 28 citations

    1

    h-index

1–5 of 45

Venues

  1. Geoderma

    2 publications · 165 citations

    2

    h-index

  2. Cogent Food & Agriculture

    1 publications · 12 citations

    1

    h-index

  3. Notulae Scientia Biologicae

    1 publications · 79 citations

    1

    h-index

  4. Sustainability

    1 publications · 40 citations

    1

    h-index

  5. Australian Journal of Soil Research

    1 publications · 12 citations

    1

    h-index

1–5