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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.

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. --- Geographic information systems --- Computer science. --- Cosmography --- Earth sciences --- World history --- Informatics --- Science --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geography --- Geosciences --- Environmental sciences --- Physical sciences --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science)