Modellers simulating the state of the physical and biological environment using agents and fields, face the challenge of storing the state variables, like the distribution of biomass and the location and properties of animals. These variables differ from each other, depending on how exactly they represent their state. In this paper we describe an approach for storing multiple kinds of representations of model state variables using a unified physical data model. We identified a set of aspects in which these representations differ from each other and which have an implication for the data model. Based on these aspects we defined a physical data model for storing spatio-temporal objects, which we implemented in an open source software library....
We developed a novel approach in the field of spatiotemporal modeling, based on the spatialisation o...
The aim of this research is to facilitate the interaction of data between different environmental nu...
Multiparameter data with both spatial and temporal components are critical to advancing the state of...
Modellers simulating the state of the physical and biological environment using agents and fields, f...
Dynamic environmental modelling of spatio-temporal systems often requires the representation of both...
A data model provides a formalism consisting of a notation for describing data of interest and of a ...
Environmental modelling practitioners are now seeking to move forwards together and build standards ...
Linking a GIS to a spatially distributed, physically-based environmental model offers many advantage...
Abstract: Currently, there are strong efforts to integrate spatial and temporal database technology ...
An environmental model is a representation or imitation of complex natural phenomena that can be dis...
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]MOTIVE [TR2_IRSTEA]SYNERGIEInternational audienceThi...
A qualitative model of the spatio-temporal be-haviour of distributed parameter systems based on phys...
Abstract: Environmental datasets grow in size and specialization while models designed for local sca...
Abstract: In this paper we explore how we can use Specification and Description Language (SDL) to re...
From environmental management to land planning and geo-marketing, the number of application domains ...
We developed a novel approach in the field of spatiotemporal modeling, based on the spatialisation o...
The aim of this research is to facilitate the interaction of data between different environmental nu...
Multiparameter data with both spatial and temporal components are critical to advancing the state of...
Modellers simulating the state of the physical and biological environment using agents and fields, f...
Dynamic environmental modelling of spatio-temporal systems often requires the representation of both...
A data model provides a formalism consisting of a notation for describing data of interest and of a ...
Environmental modelling practitioners are now seeking to move forwards together and build standards ...
Linking a GIS to a spatially distributed, physically-based environmental model offers many advantage...
Abstract: Currently, there are strong efforts to integrate spatial and temporal database technology ...
An environmental model is a representation or imitation of complex natural phenomena that can be dis...
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]MOTIVE [TR2_IRSTEA]SYNERGIEInternational audienceThi...
A qualitative model of the spatio-temporal be-haviour of distributed parameter systems based on phys...
Abstract: Environmental datasets grow in size and specialization while models designed for local sca...
Abstract: In this paper we explore how we can use Specification and Description Language (SDL) to re...
From environmental management to land planning and geo-marketing, the number of application domains ...
We developed a novel approach in the field of spatiotemporal modeling, based on the spatialisation o...
The aim of this research is to facilitate the interaction of data between different environmental nu...
Multiparameter data with both spatial and temporal components are critical to advancing the state of...