Distributed and Parallel Architectures for Spatial Data

• Autore: Belussi Alberto
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 electronic resource (170 p.)
• Soggetto topico: History of engineering & technology
• Soggetto non controllato: spatial big data; parallel processing; MapReduce; arable land quality (ALQ); GIS; big data; IoT; Hadoop; geospatial big data; geospatial applications; buffer analysis; real-time; visualization-oriented; tile-pyramid; parallel computing; soil erosion modelling; mobility; data warehouses; spatiotemporal OLAP; mobility analytics; location-based aggregate queries; distributed processing technique; grid structure; MapReduce-based aggregate query algorithm; watershed analysis; multiple flow accumulation; DEM; CUDA; OpenACC; GPU; sustainable development; Agenda 2063; geoportal; monitoring and evaluation; geospatial data
• 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