Spatial Model Selection
Spatial Model Selection is the systematic process of identifying the most appropriate statistical model among competing alternatives for representing spatially referenced data, distinguished by its explicit consideration of spatial dependence, heterogeneity, and the trade-off between model complexity and goodness-of-fit within a geographical context.
142
Publications
9.6K
Citations
416
Authors
244
Institutions
Publications per year
2017–2026
41
Parents
142
1–5 of 142
416
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 416
244
The Ohio State University
Columbus, United States
6 h-index
7 publications
176 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
12 publications
906 citations

Federal University of Technology
Akure, Nigeria
3 h-index
3 publications
91 citations

University of Leeds
Leeds, United Kingdom
3 h-index
6 publications
574 citations

University of Groningen
Groningen, The Netherlands
3 h-index
6 publications
690 citations

Geoscience Australia
Canberra, Australia
2 h-index
9 publications
543 citations
University of Münster
Münster, Germany
2 h-index
4 publications
519 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
62 citations
1–8 of 244
6 publications · 228 citations
6
h-index
6 publications · 308 citations
6
h-index
5 publications · 2.6K citations
5
h-index
4 publications · 142 citations
4
h-index
4 publications · 116 citations
4
h-index
1–5