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...

Full description

Saved in:
Bibliographic Details
Other Authors: Belussi, Alberto (Editor), Migliorini, Sara (Editor), Carra, Damiano (Editor), Clementini, Eliseo (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
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
Online Access:Get Fullteks
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
Physical Description:1 electronic resource (170 p.)
ISBN:books978-3-03936-751-1
9783039367504
9783039367511
Access:Open Access

Similar Items