TY  - BOOK
AU  - Zhou,Chenghu
AU  - Su,Fenzhen
AU  - Harvey,Francis
AU  - Xu,Jun
ED  - SpringerLink (Online service)
TI  - Spatial Data Handling in Big Data Era: Select Papers from the 17th IGU Spatial Data Handling Symposium 2016 
T2  - Advances in Geographic Information Science,
SN  - 9789811044243
AV  - GA1-1776 
U1  - 910.285 23
PY  - 2017///
CY  - Singapore
PB  - Springer Singapore, Imprint: Springer
KW  - Geographical information systems
KW  - Data mining
KW  - Data structures (Computer science)
KW  - Earth sciences
KW  - Geographical Information Systems/Cartography
KW  - Data Mining and Knowledge Discovery
KW  - Data Storage Representation
KW  - Earth Sciences, general
N1  - Big geographical data storage and search -- Data-intensive geospatial computing and data mining -- Visualization of big geographical data -- Multi-scale spatial data representations, data structures and algorithms -- Space-time modelling and analysi -- Geological applications of Big Data and multi-criteria decision analysis; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-981-10-4424-3
ER  -