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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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Bibliographic Details
Main Author: Belussi, Alberto
Other Authors: Migliorini, Sara, Carra, Damiano, Clementini, Eliseo
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Watershed Analysis
Parallel Processing
Geoportal
Arable Land Quality (alq)
Distributed Processing Technique
Iot
Big Data
Spatial Big Data
Soil Erosion Modelling
Parallel Computing
History Of Engineering And Technology / Bicssc
Cuda
Location-based Aggregate Queries
Mapreduce-based Aggregate Query Algorithm
Geospatial Data
Gis
Mapreduce
Mobility Analytics
Tile-pyramid
Geospatial Big Data
Data Warehouses
Real-time
Grid Structure
Hadoop
Geospatial Applications
Mobility
Spatiotemporal Olap
Buffer Analysis
Multiple Flow Accumulation
Openacc
Gpu
Agenda 2063
Dem
Visualization-oriented
Monitoring And Evaluation
Sustainable Development
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (170 p.)
ISBN:books978-3-03936-751-1
9783039367504
9783039367511

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