If spatial cognition hopes to understand memory of and reasoning about real-world environments, then all aspects of the environment, both spatial and non-spatial need to be conside...
Holly A. Taylor, Qi Wang, Stephanie A. Gagnon, Kei...
With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the ...
People intuitively understand that function and purpose are critical parts of what human-configured entities are about, but these notions have proved difficult to capture formally....
Wireless sensor networks are deployed to monitor dynamic geographic phenomena, or objects, over space and time. This paper presents a new spatiotemporal data model for dynamic area...
We designed and implemented a simple and fast heuristic for placing multiple labels along edges of a planar network. As a testbed, realworld data from Google Transit is taken: our ...
The categorization of our environment into feature types is an essential prerequisite for cartography, geographic information retrieval, routing applications, spatial decision supp...
While similarity has gained in importance in research about information retrieval on the (geospatial) semantic Web, information retrieval paradigms and their integration into exist...
Abstract. Closed, watertight, 3D geometries are represented by polyhedra. Current data models define these polyhedra basically as a set of polygons, leaving the test on intersectin...
The discontinuities in boundaries and exteriors that regions with holes expose offer opportunities for inferences that are impossible for regions without holes. A systematic study ...