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This edited volume compiles the proceedings of the Symposium GIS Ostrava 2016, focusing on the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, from March 16–18, 2016. It features theoretical papers and applications from global authors, summarizing the latest research in big spatial data and its associated challenges. The era of big data is approaching, characterized by three key features: volume exceeding traditional geo-processing limits, velocity surpassing conventional methods, and variety integrating diverse geodata sources. The term "big spatial data" describes a scenario where these properties challenge traditional geodata methods for collection, storage, processing, analysis, and visualization. Addressing the transition to big spatial data requires solutions for the "small data" issues that lead to larger challenges. Resilience in this context involves tackling the heterogeneity of spatial data sources, managing large volumes from gigabytes to terabytes, and addressing the complexity of geo-applications and systems. Additionally, it involves improving the automation of geodata preparation, enhancing control over collection and distribution processes, expanding analytical tool capacity, and increasing visual system performance. These trends are intensifying as sensors become more prevalent globally.
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The Rise of Big Spatial Data, Igor Ivan
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- 2018
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