Big Data Computing for Geospatial Applications
| Big Data Computing for Geospatial Applications |
| Autore | Li Zhenlong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557664803321 |
Li Zhenlong
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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High Performance Computing for Geospatial Applications / / edited by Wenwu Tang, Shaowen Wang
| High Performance Computing for Geospatial Applications / / edited by Wenwu Tang, Shaowen Wang |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 296 p. 94 illus., 70 illus. in color.) |
| Disciplina | 004.35 |
| Collana | Geotechnologies and the Environment |
| Soggetto topico |
Remote sensing
Big data Sociophysics Econophysics Computer simulation Environmental sciences Landscape ecology Remote Sensing/Photogrammetry Big Data Data-driven Science, Modeling and Theory Building Simulation and Modeling Environmental Science and Engineering Landscape Ecology |
| ISBN | 3-030-47998-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910411920603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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