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.
| ISBN: | 9789811044236 |
| Publication date: | 12th May 2017 |
| Author: | International Symposium on Spatial Data Handling |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 237 pages |
| Series: | Advances in Geographic Information Science |
| Genres: |
Geographical information systems, geodata and remote sensing Expert systems / knowledge-based systems Data mining Earth sciences Databases |
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.
Spatial Data Handling in Big Data Era features in the following genres: Geographical information systems, geodata and remote sensing, Expert systems / knowledge-based systems, Data mining, Earth sciences, Databases
Hardback. Not Available.
Spatial Data Handling in Big Data Era was written by International Symposium on Spatial Data Handling and published by Springer an imprint of Springer Nature Singapore
Spatial Data Handling in Big Data Era has 237 pages
Yes it is part of Advances in Geographic Information Science series