The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
A spatiotemporal network is a spatial network (e.g., road network) along with the corresponding time-dependent weight (e.g., travel time) for each edge of the network. The design ...
Ugur Demiryurek, Bei Pan, Farnoush Banaei Kashani,...
The World Wide Web (WWW) is a rapidly growing distributed hypertext on the Internet. This paper presents a way to enable users to navigate the WWW spatially by providing a spatial...
Polygonal objects are characterized by the following well-known parameters: number of vertices, area, perimeter and so on. These parameters describe the data sets that are used in...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...