We describe a tool, MatchMaps, that generates sameAs and partOf matches between spatial objects (such as shops, shopping centres, etc.) in crowd-sourced and authoritative geospatial datasets. MatchMaps uses reasoning in qualitative spatial logic, description logic and truth maintenance techniques, to produce a consistent set of matches. We report the results of an initial evaluation of MatchMaps by experts from Ordnance Survey (Great Britain’s National Mapping Authority). In both the case studies considered, MatchMaps was able to correctly match spatial objects (high precision and recall) with minimal human intervention.

Within the environmental and geoscience modelling community, "Integrated Modelling" can take different meanings about what is integrated within the model. The word usually refers to the need of encompassing various important aspects influencing the outcomes of a model, via integration of other data and models seemingly not of primary interest. Most often the vector of influence is the support of the model: the spatio-temporal paradigm. The purpose of this paper is to suggest that not only interaction of domains, such as ecological, geophysical, economical are important in integrated modelling, but also scales of phenomena and interactions of them.

This paper looks at how human factors requirements can be considered in the context of graphic conflict reduction for Mobile GIS applications. Currently this reduction is achieved by using schematic mapping techniques. With the advent of high-end miniature technology as well as digital geographic data products like OSMasterMap and OSCAR it is essential to devise proper methodologies for map generalization specifcally tailored for MobileGIS applications. This paper is concerned with the problem of producing schematic maps suitable for rendering on mobile display devices (e.g. PDAs). The application of schematic mapping can be-thought of as a data reduction technique for large scale datasets to make it suitable for rendering in mobile applications. These techniques have been based on computation and have not incorporated any understanding of how the simpliJication aflects the ease of use of the maps. It is therefore desirable to devise suitable generalization techniques incorporating human factors considerations for generating schematic maps from large scale datasets for display on small display devices to be usedfor MobileGIS applications.