Description

Elaborates on the way quality should be taken into account in the development of Spatial Data Infrastructures (SDIs). A variety of quality concepts are described using four quality management viewpoints, i.e. a production-centred, planning-centred, customer-centred and a system-centred perspective. New ideas are introduced and discussed on how quality should be managed in the national SDI programmes.. Most of the efforts concentrate on solving interoperability issues at data or system level, ignoring organizational issues. Spatial preference query ranks objects based on the qualities of features in their spatial neighbourhood. Formally define spatial preference queries and propose appropriate indexing techniques and search algorithms for the spatial Dataset. In this paper, we study an interesting type of preference queries, which select the best spatial location with respect to the quality of facilities in its spatial neighbourhood. The analysis and quantification of species/environment relationships is a key stone in predictive geographical modelling in ecology.