Statistical Geospatial Frameworks
A statistical geospatial framework defines an information infrastructure composed of statistical and geospatial information that are connected and conceptually integrated. A statistical-geospatial framework has the goal to spatially enable all statistics along the full statistical production process. It connects spatial information that describes our physical man-made and natural environment, and statistics that describe their socio-economic and environmental attributes.
- As such, in a basic form it may be understood as two separate frameworks, a geospatial framework and a statistical framework that are joint together technically, semantically and structurally at defined interfaces.
- In a more integrated perspective, a statistical-geospatial framework may be understood as a system of objects that describe our environment and societies whereby our statistics describe their socio-economic-environmental attributes and temporal behaviour of these objects and the geospatial information describe their physical attributes and location in space.
Global Statistical Geospatial Framework
The Global Statistical Geospatial Framework (GSGF) is a high-level framework which facilitates consistent production and integration approaches for geo-statistical information. It is generic and permits application of the framework principles to the local circumstance of individual countries.
The Generic Statistical Business Process Model – the GSBPM describes and defines the set of business processes needed to produce official statistics. It provides a standard framework and harmonised terminology to help statistical organisations to modernise their statistical production processes, as well as to share methods and components. The GSBPM is not a statistical geospatial framework per se, but it can serve as a tool to ensure a consistent integration of geospatial and statistical information.