Deterministic Spatial Process Models
Deterministic Spatial Process Models is a spatial modeling approach that belongs to the class of spatial process models and is distinguished by its reliance on fixed mathematical rules and exact input parameters to predict spatial phenomena without incorporating randomness or probabilistic variation.
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623
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50
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25
Institutions
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2017–2026
0
Parents
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Panagiotis K. Marhavilas, Dimitrios E. Koulouriotis · Safety Science · 2011 · 50 citations
Lerong Cheng, Puneet Gupta, Costas J. Spanos et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2011 · 38 citations
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University of Birmingham
Birmingham, United Kingdom
4 h-index
4 publications
64 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
5 publications
139 citations
Oregon State University
Corvallis, United States
2 h-index
2 publications
27 citations

University of Rochester
Rochester, United States
2 h-index
2 publications
44 citations
University of Virginia
Charlottesville, United States
2 h-index
2 publications
34 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
118 citations
University of Maryland Center for Environmental Science
Cambridge, United States
1 h-index
3 publications
42 citations

University of Wrocław
Wroclaw, Poland
1 h-index
2 publications
26 citations
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JAP · 2 publications · 24 citations
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1 publications · 50 citations
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M&M · 1 publications · 35 citations
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PAGEOPH · 1 publications · 13 citations
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1 publications · 121 citations
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