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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その他の著者:	Li, Zhenlong (編集者), Tang, Wenwu (編集者), Huang, Qunying (編集者), Shook, Eric (編集者), Guan, Qingfeng (編集者)
フォーマット:	図書の章
出版事項:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
主題:	Research & information: general Geography 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
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Big Data Computing for Geospatial Applications

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