Automated Generalization
Automated Generalization is a computational methodology within cartographic generalization that systematically applies algorithms and rules to transform geographic data at varying scales with minimal human intervention, distinguishing itself by its reliance on formalized processes for feature simplification, selection, displacement, and classification in map production.
125
Publications
9.3K
Citations
201
Authors
94
Institutions
Publications per year
2017–2026
26
Parents
125
Line generalisation by repeated elimination of points
M. Visvalingam, Duncan Whyatt · The Cartographic Journal · 1993 · 231 citations · Full text
Line generalisation by repeated elimination of points
M. Visvalingam, J. D. Whyatt · The Cartographic Journal · 1993 · 187 citations
1–5 of 125
201
11
h-index
7
h-index
Institut national de l’information géographique et forestière, France
7 publications · 249 citations
7
h-index
Institut national de l’information géographique et forestière, France
6 publications · 248 citations
6
h-index
6
h-index
1–5 of 201
94
University of Zurich
Zurich, Switzerland
10 h-index
19 publications
660 citations
Institut national de l’information géographique et forestière
Saint-Mandé, France
10 h-index
21 publications
740 citations
Wuhan University
Wuhan, China
8 h-index
15 publications
382 citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
5 publications
778 citations

Leibniz University Hannover
Hanover, Germany
4 h-index
8 publications
649 citations

University of Hull
Hull, United Kingdom
4 h-index
6 publications
898 citations
Paris-Est Sup
Champs-sur-Marne, France
3 h-index
7 publications
150 citations

University of Warsaw
Warsaw, Poland
3 h-index
5 publications
101 citations
1–8 of 94
15 publications · 833 citations
14
h-index
14 publications · 574 citations
14
h-index
16 publications · 761 citations
13
h-index
8 publications · 4.4K citations
8
h-index
IJGI · 6 publications · 176 citations
7
h-index
1–5