Spatio-Temporal Database Constraints for Spatial Dynamic Simulation
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Transcript of Spatio-Temporal Database Constraints for Spatial Dynamic Simulation
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Spatio-Temporal Database Constraints for Spatial Dynamic SimulationBianca Maria PedrosaLuiz Camolesi JniorGilberto CmaraMarina Teresa Pires Vieira
UNIMEP
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OutlineSpatial dynamic systemsTerraML computational environmentVariability in simulation processA land-use change application
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Spatial dynamic systemsf ( I (tn )). . .FFf ( I (t) )f ( I (t+2) )Spatial dynamic systems simulates spatio-temporal processes in which the state of a location, on the Earths surface, changes over time, due to some physical phenomena.
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Dynamic spatial models tp - 20 tp - 10tpfonte: Almeida et al (2003)
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Spacial dynamic system elementsTransition RulesFuzzyL(Clue)Expander(Dinmica)LocalMean (Riks)ModelsdiscretehybridcontinuousDinmicaRiksClue
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Spacial dynamic system elementsSpace representation
Neighborhood
modelo celularuniform proprieties regular structureproximitry matrixnon stationary
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Celli+1,,j
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TerraMLCell-based modeling languageTerraLib Modeling LanguageHybrid AutomataTemporal database constraintsNew
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ConstraintsTransitions are processes representing evolution and therefore subject to constraints, which are preconditions to limit, avoid or force a changeVariability is a feature to establish the possibility and the change limits of objects Variability is associated to object attributes or processes to model the structural, functional and behavioral characteristics of elements in real world
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Variability in simulation processInvariantDefined to attributes that cannot be changedAre used to represent immutable or stable characteristics
VariantDefined to attributes whose alterations are highly provable Support Evolution, involution or revolution of object or processes
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Dimensioning the limitsMomentA time instant valueGranularityPrecision domain of time instant (ISO 2000)OrientationReference system (Gregorian calendar)DirectionAll orientation has a origin moment and everything happens after or before this moment (UTC)ApplicationThe use of temporal representation, allowing the semantic recognition of the time datatype
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Expressing Variability conditions
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TerraML Schema
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TerraML Schema
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TerraML Schema
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A land use change applicattion
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A land use change applicattionGLOBALLOCALDemand > 0Potential >0Global mode (for all cells)Calculate/update the Demand in each time stepCalculate/update the Global Demand in each time step
Local mode (for each cell)Calculate the cells potencial for changeSelect/alocate cells to change, based on demand
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Local mode equations
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TerraML script
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TerraML script
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TerraML script
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Simulation result samples
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ConclusionThe constraints model proposed is based on semantic representation of variability to transitions in simulations.The model proposed support both variant and invariant conditions and seems to cover the most frequent situations in environment systems. Future efforts will focus on extending constraints to support the orientation and direction aspects of time representation