GIS

Many applications of high societal relevance -- e.g., transportation and traffic management, disaster remediation, location-aware social networking, (tourist) recommendation systems, military logistics (to name but a few) -- rely on some kind of ...

In this paper we present an algorithm for processing aggregate nearest neighbor queries in time-dependent road networks, i.e., given a road network where the travel time over an edge is time-dependent, a set of query points Q, a set of points of ...

Aggregate nearest neighbor queries return a point with a minimum net distance from a set of query points. Consider, for example, group of friends located at specific locations (query points) that want to meet at a restaurant (a point) such that they ...

Trajectory acquisition, management, and processing are important tasks for any application that deals with spatiotemporal data. In order to perform these tasks effectively, it is important to rely on flexible structures. Many data models have been ...

Concept Geo-tagging is the process of assigning a textual identifier that describes a real-world entity to a physical geographic location. A concept can either be a spatial concept where it possesses a spatial presence or be a non-spatial concept where ...

Congestion is a major problem in most metropolitan areas. Systems that can in a timely manner inform drivers about relevant, current or predicted traffic congestion are paramount for effective traffic management. Without loss of generality, this paper ...

Advances in mobile and sensor technologies have enabled the collection of continuously changing data such as locations and weather measurements. However, conserving the energy of these devices has been a major challenge. In this work, we propose an ...

Public safety requires emergency response that is timely and efficient. This paper describes how to distribute the emergency call among those in the area so as to optimize their locations when called, and their expertise. The call will route to the next ...

The detection of stay-jump-and-moving movement episodes using only cellular data is a big challenge due to the nature of the data. In this article, we propose a method to automatically detect the movement episodes (stay-jump-and-moving) from sparsely ...

Several different models have been defined in literature for the definition of 3D city models, from CityGML [14] to Inspire [8]. Such models include a geometrical representation of features together with a semantical classification of them. The ...

We are under the big data microscope, and our digital traces are an inestimable source of awareness to deeply understand mobility phenomena as well as economic trends, social relationships and so on. Setting the focus of the big data microscope to ...

The discovery of co-location patterns among spatial events is an important task in spatial data mining. We introduce a new kind of spatial co-location patterns, named condensed spatial co-location patterns, that can be considered as a lossy compressed ...