Scale Optimization
Scale Optimization is a methodological framework in spatial analysis that systematically identifies the most appropriate spatial scale(s) for detecting, representing, or modeling multi-scale patterns by balancing representational accuracy and computational efficiency.
43
Publications
1.7K
Citations
163
Authors
87
Institutions
Publications per year
2017–2026
24
Variants
Optimal Scale Selection
43
1–5 of 43
163
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 163
87
East China University of Science and Technology
Shanghai, China
2 h-index
9 publications
228 citations

China University of Geosciences (Beijing)
Beijing, China
1 h-index
4 publications
68 citations
Centre Inria de Saclay
Palaiseau, France
1 h-index
2 publications
60 citations
Institute for Global Environmental Strategies
Hayama, Japan
1 h-index
1 publications
19 citations

Central South University
Changsha, China
1 h-index
2 publications
96 citations
Zhejiang Ocean University
Zhoushan, China
1 h-index
1 publications
158 citations

Universidad Politécnica de Madrid
Madrid, Spain
1 h-index
4 publications
84 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
1 h-index
3 publications
51 citations
1–8 of 87
3 publications · 128 citations
3
h-index
2 publications · 44 citations
2
h-index
1 publications · 25 citations
1
h-index
1 publications · 144 citations
1
h-index
1 publications · 105 citations
1
h-index
1–5