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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格式: Online
語言:英语
出版: MDPI - Multidisciplinary Digital Publishing Institute 2021
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collection Directory of Open Access Books
description 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 approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.
format Online
id doab-20.500.12854ir-69329
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-693292024-03-28T03:31:37Z Big Data Computing for Geospatial Applications Li, Zhenlong Tang, Wenwu Huang, Qunying Shook, Eric Guan, Qingfeng task workflow geospatial problem-solving knowledge base social media big data fine-grained emotion classification spatio-temporal analysis hazard mitigation missing road city blocks topology big mobile navigation trajectory data geographic knowledge representation geographic knowledge graph formalization GeoKG overlay analysis shape complexity massive data cloud parallel computing geovisual analytics machine learning smart card data transit corridor mobility community trip CA Markov land-use change prediction Hadoop MapReduce cloud computing ETL ELT sensor data IoT geospatial big data climate science metadata web cataloging service big geospatial data geospatial cyberinfrastructure topographic surface terrain modeling global terrain dataset geospatial computing cyberGIS GeoAI spatial thinking thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography 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 approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. 2021-05-01T15:46:51Z 2021-05-01T15:46:51Z 2020 book ONIX_20210501_9783039432448_1075 9783039432448 9783039432455 https://directory.doabooks.org/handle/20.500.12854/69329 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3121 https://mdpi.com/books/pdfview/book/3121 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-245-5 10.3390/books978-3-03943-245-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039432448 9783039432455 222 Basel, Switzerland open access
spellingShingle task
workflow
geospatial problem-solving
knowledge base
social media
big data
fine-grained emotion classification
spatio-temporal analysis
hazard mitigation
missing road
city blocks
topology
big mobile navigation trajectory data
geographic knowledge representation
geographic knowledge graph
formalization
GeoKG
overlay analysis
shape complexity
massive data
cloud
parallel computing
geovisual analytics
machine learning
smart card data
transit corridor
mobility community
trip
CA Markov
land-use change prediction
Hadoop
MapReduce
cloud computing
ETL
ELT
sensor data
IoT
geospatial big data
climate science
metadata
web cataloging service
big geospatial data
geospatial cyberinfrastructure
topographic surface
terrain modeling
global terrain dataset
geospatial computing
cyberGIS
GeoAI
spatial thinking
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Big Data Computing for Geospatial Applications
title Big Data Computing for Geospatial Applications
title_full Big Data Computing for Geospatial Applications
title_fullStr Big Data Computing for Geospatial Applications
title_full_unstemmed Big Data Computing for Geospatial Applications
title_short Big Data Computing for Geospatial Applications
title_sort big data computing for geospatial applications
topic task
workflow
geospatial problem-solving
knowledge base
social media
big data
fine-grained emotion classification
spatio-temporal analysis
hazard mitigation
missing road
city blocks
topology
big mobile navigation trajectory data
geographic knowledge representation
geographic knowledge graph
formalization
GeoKG
overlay analysis
shape complexity
massive data
cloud
parallel computing
geovisual analytics
machine learning
smart card data
transit corridor
mobility community
trip
CA Markov
land-use change prediction
Hadoop
MapReduce
cloud computing
ETL
ELT
sensor data
IoT
geospatial big data
climate science
metadata
web cataloging service
big geospatial data
geospatial cyberinfrastructure
topographic surface
terrain modeling
global terrain dataset
geospatial computing
cyberGIS
GeoAI
spatial thinking
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
topic_facet task
workflow
geospatial problem-solving
knowledge base
social media
big data
fine-grained emotion classification
spatio-temporal analysis
hazard mitigation
missing road
city blocks
topology
big mobile navigation trajectory data
geographic knowledge representation
geographic knowledge graph
formalization
GeoKG
overlay analysis
shape complexity
massive data
cloud
parallel computing
geovisual analytics
machine learning
smart card data
transit corridor
mobility community
trip
CA Markov
land-use change prediction
Hadoop
MapReduce
cloud computing
ETL
ELT
sensor data
IoT
geospatial big data
climate science
metadata
web cataloging service
big geospatial data
geospatial cyberinfrastructure
topographic surface
terrain modeling
global terrain dataset
geospatial computing
cyberGIS
GeoAI
spatial thinking
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
url ONIX_20210501_9783039432448_1075