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210512 ||| eng |
| 020 |
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|a 9783039432455
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| 020 |
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|a 9783039432448
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| 020 |
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|a books978-3-03943-245-5
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| 100 |
1 |
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|a Li, Zhenlong
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| 245 |
0 |
0 |
|a Big Data Computing for Geospatial Applications
|h Elektronische Ressource
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| 260 |
|
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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| 300 |
|
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|a 1 electronic resource (222 p.)
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| 653 |
|
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|a machine learning
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| 653 |
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|a GeoAI
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| 653 |
|
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|a trip
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| 653 |
|
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|a fine-grained emotion classification
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| 653 |
|
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|a topographic surface
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| 653 |
|
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|a climate science
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| 653 |
|
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|a big mobile navigation trajectory data
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| 653 |
|
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|a metadata
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| 653 |
|
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|a web cataloging service
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| 653 |
|
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|a geospatial problem-solving
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| 653 |
|
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|a spatio-temporal analysis
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| 653 |
|
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|a IoT
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| 653 |
|
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|a transit corridor
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| 653 |
|
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|a big data
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| 653 |
|
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|a ELT
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| 653 |
|
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|a parallel computing
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| 653 |
|
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|a city blocks
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| 653 |
|
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|a workflow
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| 653 |
|
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|a spatial thinking
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| 653 |
|
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|a global terrain dataset
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| 653 |
|
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|a social media
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| 653 |
|
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|a sensor data
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| 653 |
|
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|a big geospatial data
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| 653 |
|
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|a knowledge base
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| 653 |
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|a overlay analysis
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| 653 |
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|a geographic knowledge graph
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| 653 |
|
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|a mobility community
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| 653 |
|
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|a MapReduce
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| 653 |
|
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|a cloud
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| 653 |
|
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|a geospatial big data
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| 653 |
|
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|a CA Markov
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| 653 |
|
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|a massive data
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| 653 |
|
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|a hazard mitigation
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| 653 |
|
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|a missing road
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| 653 |
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|a Research & information: general / bicssc
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| 653 |
|
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|a geospatial cyberinfrastructure
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| 653 |
|
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|a Hadoop
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| 653 |
|
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|a shape complexity
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| 653 |
|
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|a geographic knowledge representation
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| 653 |
|
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|a cyberGIS
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| 653 |
|
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|a GeoKG
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| 653 |
|
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|a geovisual analytics
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| 653 |
|
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|a cloud computing
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| 653 |
|
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|a terrain modeling
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| 653 |
|
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|a smart card data
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| 653 |
|
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|a Geography / bicssc
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| 653 |
|
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|a task
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| 653 |
|
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|a ETL
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| 653 |
|
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|a geospatial computing
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| 653 |
|
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|a land-use change prediction
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| 653 |
|
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|a topology
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| 653 |
|
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|a formalization
|
| 700 |
1 |
|
|a Tang, Wenwu
|
| 700 |
1 |
|
|a Huang, Qunying
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| 700 |
1 |
|
|a Shook, Eric
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 028 |
5 |
0 |
|a 10.3390/books978-3-03943-245-5
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/69329
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/3121
|7 0
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 000
|
| 082 |
0 |
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|a 700
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| 520 |
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|a 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.
|