Must-Dos

[bcaneco]

Movement Models

DisNBS (aka Density-Informed)

• Integrate BIOSS simulation code into package with current density-based movement approach - run_disnbs()
• Improve density-based movement to comply with distance covered during time-step given state activities
• Add unsynchronous agent's departure times
• Improve run_disnbs() interface, by adapting current implentation of and inter-relationships between <Driver>, <Species>, <DriverResponse>, etc.

Correlated Random Walk (aka Vector Fields)

• Implement first prototype

Initialization

• Expand test-init_check_consistency.r.
  • Include check on time consistency between time-dependent drivers and start-end times specified via <ModelConfig>
• Expand test-rmr_initiate.r
• rmr_initiate()
  • add cropping of spatial objects to AOC

Documentation

Vignettes/Articles

• Dedicated vignette expanding on supported movement models (roamR/vignettes/movement.qdm):
  • Density-informed
  • Correlated Random Walk

Function-level

• Add documentation and examples for:

  • <VarFn>
  • <ArgSpec>
  • build_cost_function()

• Extend existent documentation for:

  • <ModelConfig>
  • <State>
  • <Driver>
  • <AgentProperties>
  • rmr_initiate(): Add details on consistency checks applied in input validation

S4 Classes

<Driver>

• Impose restrictions on class definition and initialization of spatial objects under @stars_obj. E.g.:
  1. 3rd dim must be time-related. Furthermmore, must be of type:
     • Posixt or Date,
     • character (for months)
     • numeric. If so, name of dimension must be "month", "day of year", "week of year".
  2. 4th dim assumed as iterations or random samples
• Time-based filtering: expand get_driver_cell_value() to perform proper time filtering

<ModelConfig>

<Species>