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 |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| 主題: | |
| 在線閱讀: | ONIX_20210501_9783039432448_1075 |
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| _version_ | 1869529239178444800 |
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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 |