Community Detection in Very High-Resolution Meteorological Networks

Several complex dynamical systems are embedded in geographical space. Geographical data have proven its importance in several domains. For instance, the formation and scrutiny of climate networks have emerged as a new research topic in environmental literature. However, there is still a lack of inve...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2020-11, Vol.17 (11), p.2007-2010
Hauptverfasser:	Ceron, Wilson, Santos, Leonardo B. L., Neto, Giovanni Dolif, Quiles, Marcos G., Candido, Onofre A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering methods Community structure complex networks Correlation Disaster management Ecological studies Embedding Emergency preparedness Geographic information systems Geographical distribution Geographical locations Graphs High resolution Information systems Land cover Land surface Land use Meteorological data Meteorological networks meteorological radar Meteorology Networks Nodes Properties Radar Radar data Radar remote sensing Rain Rainfall Rainfall data Resolution Risk management Risk reduction Spatial discrimination Spatial resolution Surface topography Surface treatment Sustainable development Topology Urban planning
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