Distributed and Parallel Architectures for Spatial Data
Belussi, Alberto (editor)
Migliorini, Sara (editor)
Carra, Damiano (editor)
Clementini, Eliseo (editor)
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.
Keywordsspatial 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
Webshop linkhttps://mdpi.com/books/pdfview ...
Publication date and placeBasel, Switzerland, 2020
History of engineering & technology