Spatial Response Surfaces

Spatial Response Surfaces is a spatial statistical model that represents the continuous variation of a response variable across geographic space, distinguished by its incorporation of spatial autocorrelation and environmental gradients to predict phenomena at unsampled locations.

153

Publications

11.1K

Citations

519

Authors

261

Institutions

Publications per year

2017–2026

22

Authors

519

  1. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    5 publications · 2.8K citations

    5

    h-index

  2. GE
    George E. P. Box

    University of Wisconsin–Madison, United States

    5 publications · 3.2K citations

    5

    h-index

  3. BH
    Brian Huntley

    Durham University, United Kingdom

    3 publications · 552 citations

    3

    h-index

  4. KT
    K. Theriault

    Woods Hole Oceanographic Institution, United States

    2 publications · 118 citations

    2

    h-index

  5. VM
    Vernon M. Chinchilli

    Pennsylvania State University, United States

    2 publications · 53 citations

    2

    h-index

1–5 of 519

Venues

  1. Reliability Engineering & System Safety

    4 publications · 136 citations

    4

    h-index

  2. Journal of Vegetation Science

    JVS · 4 publications · 466 citations

    4

    h-index

  3. Journal of Biogeography

    4 publications · 871 citations

    4

    h-index

  4. Agricultural Systems

    3 publications · 236 citations

    3

    h-index

  5. Technometrics

    3 publications · 122 citations

    3

    h-index

1–5