Big Data Computing for Geospatial Applications

Big Data Computing for Geospatial Applications

The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing ap...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Geography
Research & information: general
big data
big geospatial data
big mobile navigation trajectory data
CA Markov
city blocks
climate science
cloud
cloud computing
cyberGIS
ELT
ETL
fine-grained emotion classification
formalization
GeoAI
geographic knowledge graph
geographic knowledge representation
GeoKG
geospatial big data
geospatial computing
geospatial cyberinfrastructure
geospatial problem-solving
geovisual analytics
global terrain dataset
Hadoop
hazard mitigation
IoT
knowledge base
land-use change prediction
machine learning
MapReduce
massive data
metadata
missing road
mobility community
overlay analysis
parallel computing
sensor data
shape complexity
smart card data
social media
spatial thinking
spatio-temporal analysis
task
terrain modeling
topographic surface
topology
transit corridor
trip
web cataloging service
workflow
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