Predictive Site Modeling

Predictive Site Modeling is a computational archaeology methodology that employs spatial statistical analysis and environmental variables within a geographic information system (GIS) framework to identify and rank areas with high potential for containing archaeological sites based on patterns derived from known site locations.

37

Publications

1.5K

Citations

120

Authors

60

Institutions

Publications per year

2017–2026

16

Variants

Archaeological Predictive Modeling

Authors

120

  1. YT
    Yoshito Tobe

    The University of Osaka, Japan

    4 publications · 242 citations

    4

    h-index

  2. KH
    Keiji Hirose

    The University of Osaka, Japan

    4 publications · 242 citations

    4

    h-index

  3. KN
    Kōichirō Naemura

    The University of Osaka, Japan

    4 publications · 242 citations

    4

    h-index

  4. MM
    Masaki Murata

    The University of Tokyo, Japan

    3 publications · 198 citations

    3

    h-index

  5. MK
    M. KONISHI

    The University of Osaka, Japan

    2 publications · 122 citations

    2

    h-index

1–5 of 120

Venues

  1. Tetrahedron Asymmetry

    5 publications · 313 citations

    5

    h-index

  2. American Antiquity

    2 publications · 82 citations

    2

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 38 citations

    2

    h-index

  4. Geosciences

    2 publications · 48 citations

    2

    h-index

  5. Sustainability

    2 publications · 67 citations

    2

    h-index

1–5