MappingSets for Spatial Observation Data Warehouses.
José R. R. Viqueira, D. L. la Red Martínez, Sebastián Villarroya, José A. Taboada · 2013
The amount of time evolving spatial data that is currently being generated by automatic observation processes is huge. In general, observation data consists of both heterogeneous spatio-temporal data and relevant observation metadata. The former includes data of Spatial Entities (cities, roads, vehicles, etc.) and data of temporal evolution of both prop-erties of Spatial Entities (population of a city, position of a vehicle, etc.) and properties of space (temperature, el-evation, etc.). Real uniform integrated management of all these types of data is still not achieved by current models and systems. The present paper describes the design of a data modeling and management framework for observation data warehouses. A hybrid logical-functional data model based on the concept of MappingSet and relevant language enables the specification of spatio-temporal analytical pro-cesses. The framework in currently being implemented. 1.