Title
A physical data model for spatio-temporal objects
Abstract
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 illustrate how the resulting data model can be used to store multiple kinds of model state variables and explain how this data model can be useful in environmental modelling software.
Year
DOI
Venue
2019
10.1016/j.envsoft.2019.104553
Environmental Modelling & Software
Keywords
Field
DocType
Simulation,Modelling,Field,Object,HDF5,LUE
Environmental modelling,Data mining,Hierarchical Data Format,Computer science,Software,State variable,Physical data model,Data model,Open source software,Management science
Journal
Volume
ISSN
Citations 
122
1364-8152
1
PageRank 
References 
Authors
0.48
0
2
Name
Order
Citations
PageRank
Kor De Jong111914.08
Derek Karssenberg211216.11