Height Model Selection
Height Model Selection is a methodological process in allometric modeling that involves the systematic evaluation and choice of optimal mathematical models to predict tree height from diameter measurements based on statistical, biological, and ecological criteria.
9
Publications
237
Citations
18
Authors
11
Institutions
Publications per year
2017–2026
1
Parents
9
1–5 of 9
18
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 18
11
Memorial University of Newfoundland
St. John's, Canada
1 h-index
1 publications
62 citations

University of Montana
Missoula, United States
1 h-index
1 publications
13 citations

University of Georgia
Athens, United States
1 h-index
3 publications
177 citations
Department of Earth Sciences
Moscow, Russia
1 h-index
1 publications
62 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
30 citations
Ontario Forest Research Institute
Sault Ste. Marie, Canada
1 h-index
1 publications
26 citations
Universidade Federal de Lavras
Lavras, Brazil
1 h-index
2 publications
24 citations
Kerala Forest Research Institute
Thrissur, India
1 h-index
1 publications
26 citations
1–8 of 11
3 publications · 98 citations
3
h-index
1 publications · 30 citations
1
h-index
Repository · 1 publications · 12 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 62 citations
1
h-index
1–5