Belussi, Alberto <br/><br/>
Distributed and Parallel Architectures for Spatial Data 

 - Basel, Switzerland  MDPI - Multidisciplinary Digital Publishing Institute  2020 
 - 1 electronic resource (170 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>books978-3-03936-751-1 9783039367504 9783039367511 
<br/><br/><label>Standard No.: </label>10.3390/books978-3-03936-751-1  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>History of engineering & technology
<br/><br/><label>Subjects--Index Terms: </label>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