Knowledge-based Generalization
Knowledge-Based Generalization is a cartographic generalization method that integrates domain-specific knowledge, formalized through rules, ontologies, or expert systems, to guide and constrain the selection, simplification, and representation of spatial features in map generalization.
35
Publications
3.6K
Citations
79
Authors
39
Institutions
Publications per year
2017–2026
10
35
1–5 of 35
79
3
h-index
3
h-index
Rutgers, The State University of New Jersey, United States
3 publications · 1.9K citations
3
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 131 citations
2
h-index
2
h-index
1–5 of 79
39
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
7 publications
5.7K citations

Pennsylvania State University
State College, United States
2 h-index
2 publications
131 citations
Institut national de l’information géographique et forestière
Saint-Mandé, France
2 h-index
2 publications
135 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
2 h-index
7 publications
3.8K citations
University of Zurich
Zurich, Switzerland
2 h-index
4 publications
127 citations
Shri Mata Vaishno Devi University
Katra, India
1 h-index
3 publications
75 citations
Hewlett-Packard (United States)
Palo Alto, United States
1 h-index
1 publications
12 citations
Wuhan University
Wuhan, China
1 h-index
2 publications
22 citations
1–8 of 39
3 publications · 85 citations
3
h-index
Conference · 2 publications · 80 citations
2
h-index
2 publications · 205 citations
2
h-index
2 publications · 270 citations
2
h-index
2 publications · 1.9K citations
2
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1–5