Spatial Data Handling in Big Data Era - Select Papers from the 17th IGU Spatial Data Handling Symposium 2016 (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advances in Geographic Information Science
Release date:	May 2017
First published:	2017
Editors:	Chenghu Zhou • Fenzhen Su • Francis Harvey • Jun Xu
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	237
Edition:	1st ed. 2017
ISBN-13:	978-981-10-4423-6
Categories:	Books > Earth & environment > Earth sciences > General Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	981-10-4423-6
Barcode:	9789811044236

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