Survey Predictive Modeling

Survey Predictive Modeling is a computational or statistical methodology within historic resource survey that predicts the spatial distribution or likelihood of encountering cultural or historical resources by analyzing environmental, geographic, and socio-historical variables.

19

Publications

2.2K

Citations

35

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

35

  1. JA
    John A. Sonquist

    University of California, Santa Barbara, United States

    2 publications · 1.4K citations

    2

    h-index

  2. AS
    Alastair Scott

    University of Auckland, New Zealand

    2 publications · 269 citations

    2

    h-index

  3. SH
    Stephen Huxley

    University of San Francisco, United States

    2 publications · 41 citations

    2

    h-index

  4. JN
    James N. Morgan

    University of Michigan, United States

    2 publications · 1.4K citations

    2

    h-index

  5. TL
    Thomas Lumley

    University of Washington, United States

    2 publications · 269 citations

    2

    h-index

1–5 of 35

Venues

  1. Journal of the American Statistical Association

    3 publications · 1.4K citations

    3

    h-index

  2. Journal of Marketing Research

    2 publications · 41 citations

    2

    h-index

  3. Journal of Clinical Epidemiology

    1 publications · 117 citations

    1

    h-index

  4. Biometrical Journal

    1 publications · 18 citations

    1

    h-index

  5. Journal of service management

    1 publications · 33 citations

    1

    h-index

1–5