Spatial Data Handling in Big Data Era Select Papers from the 17th IGU Spatial Data Handling Symposium 2016 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Zhou, Chenghu (Editor), Su, Fenzhen (Editor), Harvey, Francis (Editor), Xu, Jun (Editor)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Series: Advances in Geographic Information Science,
• Subjects: Geography.; Earth sciences.; Data structures (Computer science).; Data mining.; Geographical information systems.; Geographical Information Systems/Cartography.; Data Mining and Knowledge Discovery.; Data Storage Representation.; Earth Sciences, general.

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-t...

Table of Contents:

• 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.