samc 1.1.0

• Added support for the use vectors of time steps in most short-term metrics. It is more computationally efficient and ergonomic to do this rather than calculating short-term metrics for each individual time step. Some key points:
  • When vector inputs are used for time steps, the result is contained in a list
  • The names of the entries in the list are character versions of the corresponding time step values
  • Time step vectors must consist of ordered positive integers with no duplicate values
  • Time step vector inputs have not been added for short-term metrics that return dense matrices
• Updated the map() function to support list inputs generated by the short-term metrics. The result is a list of RasterLayers
• Updated the Temporal Analysis and Animations vignettes to incorporate time step vectors
• Created a Gitter community for package support. Gitter badges on the README and home pages can be used to access it.
• Updated the package citation info to refer to Marx et al. (2020, DOI: 10.1111/ecog.04891)

samc 1.0.4

• Add conditional usage of suggested packages in vignettes
• Minor updates for package info

samc 1.0.3

• First CRAN submission

samc 1.0.0

• Complete package rewrite (code dependent on v0.1.0 will not work)
• samc-class for managing SAMC data
• Utility functions for creating samc-class objects, checking inputs, and mapping data
• Heavily optimized analytical functions for all metrics described in Fletcher et al. (2019, DOI: 10.1111/ele.13333)
  • Utilizing sparse matrices
  • Eigen C++ implementation via Rcpp and RcppEigen
• Updated example data
• Extensive documentation
• Several tutorials

samc 0.1.0

• Created crude functions for calculating metrics in Fletcher et al. (2019, DOI: 10.1111/ele.13333)
• Included example data