TY - GEN digital ID - 131680646 TI - Spatial Data Handling in Big Data Era : Select Papers from the 17th IGU Spatial Data Handling Symposium 2016 AU - Zhou, Chenghu AU - Su, Fenzhen AU - Harvey, Francis AU - Xu, Jun PY - 2017 SN - 9789811044243 PB - Singapore Springer Singapore, Imprint: Springer DB - UniCat KW - Geodesy. Cartography KW - Geology. Earth sciences KW - Computer science KW - Information systems KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Geography KW - gegevensopslag KW - geodesie KW - GIS (geografisch informatiesysteem) KW - datamining KW - big data KW - computers KW - geografie KW - computerkunde KW - data acquisition UR - https://www.unicat.be/uniCat?func=search&query=sysid:131680646 AB - 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. ER -