Density Pattern Analysis
Density Pattern Analysis is a methodological framework within spatial data science that identifies, quantifies, and interprets the systematic spatial arrangements and variations in the concentration of entities or phenomena across a defined geographic domain.
58
Publications
3.9K
Citations
171
Authors
94
Institutions
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2017–2026
22
Parents
58
VDBSCAN: Varied Density Based Spatial Clustering of Applications with Noise
An efficient and scalable density-based clustering algorithm for datasets with complex structures
Yinghua Lv, Tinghuai Ma, Meili Tang et al. · Neurocomputing · 2015 · 177 citations
Performance evaluation of density-based clustering methods
Ramiz M. Aliguliyev · Information Sciences · 2009 · 133 citations
Computing, Data Science, Data Mining +13
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94

Leibniz University Hannover
Hanover, Germany
2 h-index
6 publications
72 citations

Shanghai Maritime University
Shanghai, China
1 h-index
5 publications
270 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
1 h-index
1 publications
49 citations
Bioscience (China)
Tianjin, China
1 h-index
4 publications
40 citations
Aix-Marseille Université
Marseille, France
1 h-index
1 publications
11 citations
Universidade de Santiago de Compostela
Santiago de Compostela, Spain
1 h-index
1 publications
22 citations
Guangdong University of Finance
Guangzhou, China
1 h-index
1 publications
34 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
1 h-index
2 publications
20 citations
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1 publications · 73 citations
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2 publications · 122 citations
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2 publications · 35 citations
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2 publications · 207 citations
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1 publications · 13 citations
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