Research Progress of Array Analytics towards Big Data
YU Jinsongd · Geo-information Science · 2013
The development of Internet of Things and Earth Observation brings big observation array data and big array analytics. This paradigm shift challenges the development of current GIS infrastructure which needs innovative proof and design. Array Analytics is considered as one of potential solutions to address today's data tsunami challenge. Formal definitions, such as array domain, range, the mapping function between domain and range, operators, the corresponding input and output are basic building blocks of Array Analytics theory. This paper focuses on the world-wide research progress of Array Analytics towards Big Data. Main Array Analytics models are reviewed and discussed by considering different array definition, operation functions, input and output, making it possible to explore character differentiation and summarize model expressiveness. Then, main array analytics technologies and implementations are discussed and compared by considering different models. Accordingly, array analytics modeling patterns, principle issues and directions for future research are concluded as guidance for further exploration on array analytics theory research, technology improvement and domain applications. National Digital Information Infrastructure Initiatives need effective array storage and analytics platforms.The research is conducted as input of further enhancement on Information Application Infrastructure, which is key backbone of GIS analytics services in terms of earth science system monitoring and forecasting, existing digital construction consolidation, and GIS infrastructure improvement, so as to provide effective support to digital region construction.