FUTURES v2.2.0

This release brings new validation modules, speeds up r.futures.potential and includes better handling of some edge cases.

• add new modules for validation (#36)

  • includes allocation/quantity disagreement, cohen's kappa, Kappa simulation (Vliet et al, 2011)
  • r.futures.validation: global validation
  • r.futures.gridvalidation: validation on a grid (useful for large areas)

• r.futures.pga

  • fix for case when there are no derived patch sizes
  • fix reading patches when running on a subset of subregions (#29)
  • better verbose message showing progress (#28)
  • check all subregions in map are in potential file (#31)

• r.futures.potential: model selection improvements (#23)

  • speed up with parallelization of dredge function (requires R snow package)
  • option to output file summarizing all models
  • add option fixed_columns to specify predictors that should always be included

• r.futures.demand

  • fallback method for inverse relations that keeps density static (#24)
  • if there is zero in population data, discard data point (#22)
  • do not exit if using only 1 method which can't converge
  • fix matplotlib deprecation warning (#19)

• r.futures.parallelpga and r.futures.calibration - add memory option from r.futures.pga