2. Dynamic Modelling

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• 2.1. Visualisation of spatio-temporal data
  • 2.1.1. Static data
  • 2.1.2. Temporal spatial data
  • 2.1.3. Temporal non-spatial data
• 2.2. The dynamic modelling framework
  • 2.2.1. The dynamic modelling class
  • 2.2.2. Modelling with feedback
• 2.3. Reading and writing spatio-temporal data
  • 2.3.1. Reading and writing static spatial data
  • 2.3.2. Reading and writing temporal spatial data
  • 2.3.3. Reading timeseries
• 2.4. Point operations: a snow melt model
  • 2.4.1. Precipitation and temperature
  • 2.4.2. The snow store
  • 2.4.3. Runoff generation
• 2.5. Neighbourhood operations with defined topology: the snow melt model
  • 2.5.1. The local drain direction map
  • 2.5.2. Drain all runoff within one time step: the accuflux function
• 2.6. Calculating descriptive statistics: the snow melt model
  • 2.6.1. Over the spatial domain
  • 2.6.2. Over time
• 2.7. Direct neighbourhood operations
  • 2.7.1. Discrete attributes: cellular automata
  • 2.7.2. Continuous attributes: spatial diffusion in vegetation modelling
• 2.8. Probabilistic spatial models: forest fire and seed dispersal
  • 2.8.1. Random variables in point models
  • 2.8.2. Direct neighbourhood interaction: forest fire
  • 2.8.3. Neighbourhood interaction over a distance: plant seed dispersal
• 2.9. Beyond the Model class