Distributed and Parallel Architectures for Spatial Data

Distributed and Parallel Architectures for Spatial Data

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 spatiotempor...

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Detalles Bibliográficos
Otros Autores: Belussi, Alberto (Editor), Migliorini, Sara (Otro), Carra, Damiano, Clementini, Eliseo
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Materias:
History of engineering & technology
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
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009741235006719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (170 p.)

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