Add to ORKG◮ Our time model: ◮ The time line is a finite sequence of temporal granules (discrete time model) ◮ Our space model is similar to the time model: ◮ The space is a collection of spacelines (1.5-dimensional model) ◮ A spaceline is a finite sequence of spatial granules (discrete model): 1 2 3 4 5 6 7 8 9 10 11 12 ◮ Spatio-temporal granule: ◮ A pair (temporal granule, spatial granule) I. Timko et al. SEQUENCED, SPATIO-TEMPORAL AGGREGATION IN ROAD NETWORKS
Understanding distances between places is a fundamental task for the geographer, while the represent...
This article is a review of spatial aggregation of variables for time continuous models. Two cases a...
Land development and infrastructure growth are two co-evolving processes. When studying long-term ur...
Many applications of spatio-temporal databases require support for sequenced spatio-temporal (SST) a...
Traffic forecasting is crucial for policy making in the transport sector. Recently, Selby and Kockel...
A spatiotemporal network is a spatial network (e.g., road network) along with the corresponding time...
L'objectif de cette thèse est de réunir les deux approches suivantes qui existent actuellement pour ...
International audienceTo model dynamic road traffic environment, it is imperative to integrate spati...
International audienceTo model dynamic road traffic environment, it is imperative to integrate spati...
Understanding distances between places is a fundamental task for the geographer, while the represent...
Understanding distances between places is a fundamental task for the geographer, while the represent...
This thesis consists in joining two approaches that currently exist when one wants to study crowds ...
This thesis consists in joining two approaches that currently exist when one wants to study crowds ...
Autoregressive and moving average models for temporally dynamic networks treat time as a series of d...
Understanding distances between places is a fundamental task for the geographer, while the represent...
Understanding distances between places is a fundamental task for the geographer, while the represent...
This article is a review of spatial aggregation of variables for time continuous models. Two cases a...
Land development and infrastructure growth are two co-evolving processes. When studying long-term ur...
Many applications of spatio-temporal databases require support for sequenced spatio-temporal (SST) a...
Traffic forecasting is crucial for policy making in the transport sector. Recently, Selby and Kockel...
A spatiotemporal network is a spatial network (e.g., road network) along with the corresponding time...
L'objectif de cette thèse est de réunir les deux approches suivantes qui existent actuellement pour ...
International audienceTo model dynamic road traffic environment, it is imperative to integrate spati...
International audienceTo model dynamic road traffic environment, it is imperative to integrate spati...
Understanding distances between places is a fundamental task for the geographer, while the represent...
Understanding distances between places is a fundamental task for the geographer, while the represent...
This thesis consists in joining two approaches that currently exist when one wants to study crowds ...
This thesis consists in joining two approaches that currently exist when one wants to study crowds ...
Autoregressive and moving average models for temporally dynamic networks treat time as a series of d...
Understanding distances between places is a fundamental task for the geographer, while the represent...
Understanding distances between places is a fundamental task for the geographer, while the represent...
This article is a review of spatial aggregation of variables for time continuous models. Two cases a...
Land development and infrastructure growth are two co-evolving processes. When studying long-term ur...