Session Extended Spatial Analytics at German Congress of Geography 2015 (Berlin) chaired by Diego Rybski (Potsdam Institute for Climate Impact Research) and me.
Session Outline
Big data – and foremost big spatial data – recently came in the focus of data researchers and scientists with particular interests from the industry and federal agencies alike.
In recent years, “big data” became a very fashionable research topic. The trend was fostered by the stark development of the internet, social online communities, and geo-located activities. The break-through of information-technology in many fields of human activity facilitated the systematic recording and provision of data. Despite incoherent understanding of the term, considerable interest from the industry and federal agencies is manifested.
In the earth and environmental sciences, however, large data sets have always been used. In climatology, for example, three or four dimensional matrices with high spatio-temporal resolution represent huge amount of data. Nevertheless, the way how big data is analyzed, e.g. data mining or explorative data analysis, often differs from conventional approaches. Moreover, the huge amount of data represent a computational challenge and efficient algorithms are being developed fulfilling the desired tasks in reasonable time.
With advances in remote sensors, sensor networks, and the proliferation of location sensing devices in daily life activities and common business practices, the generation of disparate, dynamic, and geographically distributed spatio-temporal data has exploded in recent years. In addition, significant progress in ground, air- and space-borne sensor technologies has led to an unprecedented access to earth science data for scientists from different disciplines, interested in studying the complementary nature of different parameters.
This session aims to bring together researchers from academia, government and industrial research labs who are working in the area of spatial analytics with an eye towards massive data sizes. The objective of this workshop is to provide a platform for researchers engaged in addressing the big data aspect of spatial and spatio-temporal data analytics to present and discuss their ideas.
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