Big Spatial Data: lehetőségek, kihívások és tapasztalatok
Big Spatial Data: chances, challenges and experiences

Summary/Abstract: It’s a clear trend in recent years that quantitative analyses are based not only on traditional statistical data sources, but also on new data sets which are being generated in large volumes, speed and variety,and which are comprehensively called by professionals as Big Data. Such resources are increasingly used by the spatial researcher community,although the methodology for handling and processing Big Spatial Data, that is, spatial data which are generated in large volumes, has not been fully established yet. The aim of the study is therefore to systematise the concepts and opportunities related to Big Spatial Data, as well as to overview the parallel existing challenges and critics. After the theoretical parts, the article attempts to point out some details of the possibilities and challenges of Big Spatial Data analysis by introducing practical examples of analysing the data of a well-known social network site, geolocalized transaction data of a Hungarian bank and data of a tracking application.

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