Spatial Data Handling in Big Data Era
179,00 €*
Sofort verfügbar, Lieferzeit: 1-3 Tage
Produktnummer:
9789811044236
This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications. Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.
| EAN: | 9789811044236 |
|---|---|
| Auflage: | 001 |
| Sprache: | Englisch |
| Seitenzahl: | 252 |
| Produktart: | Gebunden |
| Herausgeber: | Zhou, Chenghu Xu, Jun Harvey, Francis Su, Fenzhen |
| Verlag: | Springer Nature Singapore Springer Singapore |
| Veröffentlichungsdatum: | 12.05.2017 |
| Untertitel: | Select Papers from the 17th IGU Spatial Data Handling Symposium 2016 |
| Schlagworte: | Data Mining (EDV) Datenverarbeitung / Datenschutz, Datensicherheit, Datensicherung Erde (Planet) / Geologie Geologie Kartografie - Kartierung Kartographie |
| Größe: | 20 × 160 × 241 |
| Gewicht: | 547 g |
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