Distributed and Parallel Architectures for Spatial Data

• Autore: Belussi Alberto
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (170 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: Agenda 2063; arable land quality (ALQ); big data; buffer analysis; CUDA; data warehouses; DEM; distributed processing technique; geoportal; geospatial applications; geospatial big data; geospatial data; GIS; GPU; grid structure; Hadoop; IoT; location-based aggregate queries; MapReduce; MapReduce-based aggregate query algorithm; mobility; mobility analytics; monitoring and evaluation; multiple flow accumulation; OpenACC; parallel computing; parallel processing; real-time; soil erosion modelling; spatial big data; spatiotemporal OLAP; sustainable development; tile-pyramid; visualization-oriented; watershed analysis
• Persona (resp. second.): MiglioriniSara; CarraDamiano; ClementiniEliseo; BelussiAlberto
• Sommario/riassunto: This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data.
• Titolo autorizzato: Distributed and Parallel Architectures for Spatial Data
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910674022403321
• Lo trovi qui: Univ. Federico II