Geostatistical Surface Modeling
Geostatistical Surface Modeling is a surface modeling method that employs geostatistical techniques to interpolate and predict spatial phenomena by quantifying spatial autocorrelation and uncertainty in terrain data.
25
Publications
1.4K
Citations
58
Authors
37
Institutions
Publications per year
2017–2026
5
Parents
25
1–5 of 25
58
2
h-index
2
h-index
ICF International (United States), United States
1 publications · 22 citations
2
h-index
1
h-index
1
h-index
1–5 of 58
37

UNSW Sydney
Sydney, Australia
2 h-index
2 publications
101 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
1 h-index
2 publications
180 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
2 publications
20 citations

Pacific Northwest National Laboratory
Richland, United States
1 h-index
1 publications
66 citations

Indian Institute of Management Calcutta
Kolkata, India
1 h-index
2 publications
26 citations

Polytechnic University of Bari
Bari, Italy
1 h-index
1 publications
38 citations
Centre Inria de l'Université de Lorraine
Villers-lès-Nancy, France
1 h-index
1 publications
88 citations

Carnegie Institution for Science
Washington, United States
1 h-index
1 publications
45 citations
1–8 of 37
JGR · 2 publications · 47 citations
2
h-index
1 publications · 17 citations
1
h-index
NRR · 1 publications · 59 citations
1
h-index
1 publications · 38 citations
1
h-index
1 publications · 35 citations
1
h-index
1–5