Data-driven Zone Delineation
Data-Driven Zone Delineation is a zone delineation methodology that belongs to the class of spatial partitioning techniques and is distinguished by its reliance on empirical data and computational analysis to define zones without depending on pre-existing administrative or subjective boundaries.
12
Publications
429
Citations
39
Authors
21
Institutions
Publications per year
2017–2026
4
Parents
12
1–5 of 12
39
Institute for Agricultural and Forest Systems in the Mediterranean
2 publications · 126 citations
2
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1
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1
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1–5 of 39
21

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
12 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
3 publications
39 citations

University of St Andrews
St Andrews, United Kingdom
1 h-index
3 publications
99 citations
Cranfield University
Cranfield, United Kingdom
1 h-index
1 publications
58 citations
International Centre for Advanced Mediterranean Agronomic Studies
Valenzano, Italy
1 h-index
3 publications
204 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
1 h-index
1 publications
12 citations
Istituto Sperimentale per la Frutticoltura
Rome, Italy
1 h-index
1 publications
58 citations
Technologies & méthodes pour les agricultures de demain
Montpellier, France
1 h-index
2 publications
44 citations
1–8 of 21
2 publications · 78 citations
2
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1 publications · 22 citations
1
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SF · 1 publications · 27 citations
1
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1 publications · 95 citations
1
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1 publications · 30 citations
1
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