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The Topological Weighted Centroid: A New Vision of Geographic Profiling [[electronic resource] ] : Theory and Applications / / by Massimo Buscema, Masoud Asadi-Zeydabadi, Giulia Massini, Weldon A. Lodwick, Marco Breda, Riccardo Petritoli, Francis Newman, Francesca Della Torre



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Autore: Buscema Massimo Visualizza persona
Titolo: The Topological Weighted Centroid: A New Vision of Geographic Profiling [[electronic resource] ] : Theory and Applications / / by Massimo Buscema, Masoud Asadi-Zeydabadi, Giulia Massini, Weldon A. Lodwick, Marco Breda, Riccardo Petritoli, Francis Newman, Francesca Della Torre Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (175 pages)
Disciplina: 531
Soggetto topico: Computational intelligence
Geographic information systems
Data mining
Computational Intelligence
Geographical Information System
Data Mining and Knowledge Discovery
Altri autori: Asadi-ZeydabadiMasoud  
MassiniGiulia  
LodwickWeldon A  
BredaMarco  
PetritoliRiccardo  
NewmanFrancis  
Della TorreFrancesca  
Nota di contenuto: Introduction -- Precursor to TWC -- The Theory of TWC -- Illustrative Examples -- Advanced TWC Topics -- TWC Applications -- Appendices - MATLAB Programs.
Sommario/riassunto: This book introduces the Topological Weighed Centroid approach and describes some applications in the study of the dynamics of various spatial phenomena with a special emphasis on the spatial analysis of the relationship, influence, and dynamics of geographical phenomena. Offering a comprehensive introduction to the theory and illustrative examples from various kinds of geographical data, this book also takes an in-depth look at more complex case studies, such as the applications of the topological weighed centroid approach in the study of epidemic patterns, cultural processes, criminality, and environmental phenomena.
Titolo autorizzato: The Topological Weighted Centroid: A New Vision of Geographic Profiling  Visualizza cluster
ISBN: 3-031-28901-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910734822803321
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Serie: Studies in Computational Intelligence, . 1860-9503 ; ; 1095