Spatial decision making often requires the consideration of huge datasets fro m a great variety of sectors . For the achievement of decision that are accepted by as many actors as possible it is indispensable to consider all relevant fields, and contexts. However, if the goal of a project is ill defined or broadly scoped, it can be h ard to identify all relevant actors and overview whether their different goals, perceptions and ideas of how a place, a landscape, a village or city should develop in the future, can be integrated. Actors recognize problems necessarily within their specifi c context. The idea of a holistic approach to decision making is to consider possibly all relevant contexts, in which a spatial problem is embedded. This should lead to qualitatively high and sustainable decisions because the ignorance of specific contextual information can lead to unsatisfying, in the worst case harmful results . The problem as such is not new, but this paper argues not from a perspective of human communication. It raises the question, whether applications can support a holistic approach in spatial decision making by extending decision systems with functionalities to integrate context-information automatically.