We present new spatio-temporal geostatistical modelling and interpolation capabilities of the R package gstat. Various spatio-temporal covariance models have been implemented, such as the separable, product-sum, metric and sum-metric models. In a real-world application we compare spatio-temporal interpolations using these models with a purely spatial kriging approach. The target variable of the...

Abstract: This work presents a new approach that aims to characterize the spatio-temporal relationships that exist between geographical objects that are absent or non-existent at the moment of analysis. First, we would like to propose a formal analysis of the spatio-temporal states of presence and existence of a geographical object. We will then use a combination of these states in order to def...

We present a method to automatically extract spatio-temporal descriptions of moving objects from synchronized and calibrated multi-view sequences. The object is modeled by a time-varying multi-resolution subdivision surface that is fitted to the image data using spatio-temporal multi-view stereo information, as well as contour constraints. The stereo data is utilized by computing the normalized...

Various continuously-indexed spatio-temporal process models have been constructed to characterize spatio-temporal dependence structures, but the computational complexity for model fitting and predictions grows in a cubic order with the size of dataset and application of such models is not feasible for large datasets. This article extends the full-scale approximation (FSA) approach by Sang and H...

Location–Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. Such knowledge can be derived by analyzing the location data of users. Such data contain two unique dimensions, space and time, which need to be analyzed. The objectives of the thesis are three–fold. First, to extend popular data mining methods to the spatio–...

Lately a new generation of application domains is emerging. Such applications, heavily dynamic and interactive, include interactive multimedia applications, virtual reality worlds, digital movies and 3D animations. They deal with intensive spatio-temporal dependencies between the participating objects with motion becoming a central issue. Indeed in the aforementioned application domains, much o...

Spatio-temporal modelling is an area of increasing importance in which models and methods have often been developed to deal with specific applications. In this study, a spatio-temporal model was used to estimate daily rainfall data. Rainfall records from several weather stations, obtained from the Agritempo system for two climatic homogeneous zones, were used. Rainfall values obtained for two f...

We describe DISTIL (DIstributed design of SpaTIo-temporaL data), a web-based conceptual modeling prototype system that can help capture the semantics of spatio-temporal data. Via DISTIL, we describe an annotationbased approach that divides spatio-temporal conceptual design into two steps: first capture the current reality of an application using a conventional conceptual model without consideri...

While there have been decades of research on spatio-temporal reasoning (STR) logics, the obstacle preventing a complete understanding of our world is the lack of spatio-temporal structures in existing ontologies. This is particularly true for semantic web efforts: for how do we begin to create a semantic web when we cannot define the semantics of the entities with which we which we wish to popu...

In logic, the spatio-temporal location of a proposition is characterized precisely within a Cartesian system of space and time coordinates. This is suitable for characterizing the truth value of propositions relative to possible worlds, but not for modeling the spatio-temporal orientation of natural cognitive agents.1 This paper presents an alternative approach to representing space and time. W...