Extending the Quality Concept in Geo-Information Processing GIS applications based on distributed services prompt the concept of a geographical services in-frastructure comprising interoperable services that can be combined with each other or with other specialized services (e.g simulation tools) to offer advanced services and execute complex tasks as may be required by some end-user. A service can be defined as a collection of operations accessed through an interface and that allow a user to evoke some desirable behavior.  Figure 1: Distributed services The Open GIS Consortium has defined the OpenGIS web services framework (OSF) that proposes a set of basic services, interfaces and protocols that can be used by any compliant application in a distributed enterprize setting [19] (Figure 1). OpenGIS services are web services that re ect the vision of the Open GIS Consortium (OGC) for spatial data and application interoperability. Ubiquitous deployment of openGIS services is poised to promote establishment of e-commerce architectures by connecting collaborating communities of information providers, maintainers and brokers interworking in shared service chains [19], further advancing the virtual GI enterprize (Figure 2). 3 Quality and Geoprocessing: Existing Frameworks Quality is a concept that has been widely applied to various aspects of spatial data, its acquisition, processing, management and dissemination, yielding a rich vocabulary of quality-related termi-nologies and definitions. Quality has for long been focussed on spatial data and its fitness-for-use.  Figure 2: Trends in GIS Systems and GI Enterprizes However, market dynamics and changes in operational environments have seen many GI enter-prizes adopt new structures and business models, and increasingly pay greater attention to the dynamic aspects of quality in their business processes. Further, it can be anticipated that changes in enterprize business processes and organizational structure manifest in changing architectures of enterprize systems. We thus envision three closely entwined contexts within which one can define quality viz the contexts of business processes, enterprize systems and spatial data. |