Species-Habitat Associations

Analyse species-habitat associations in R. Therefore, information about the location of the species is needed and about the environmental conditions. To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) and Harms et al. (2001) .

News

shar 0.3.1

Improvements
- Better structure of vignettes
- Adding CONTRIBUTING.md
- Trying to fix some failing tests for older R versions

shar 0.3

Improvements
- plot_randomized_pattern() now uses envelopes to plot randomized summary functions
- plot_randomized_pattern() includes a quantum bar
- plot_randomized_pattern() now can return plots after each other (Press )
- calculate_engery() can also calculate the energy for marked reconstructions
- Improved warning messages
Bugfixes
- Explicitly C++11 compiler
New functionality
- plot_randomized_pattern() to plot randomized rasters

shar 0.2.1

Improvements
- minor speed improvment for reconstruct_pattern(), reconstruct_marks() and calculate_energy()
  - The starting pattern is now identical for all n_random and only the relocation process differs between randomizations
  - All summary functions are only calculated for 250 steps from 0 to rmax
Bugfixes
New functionality
- rcpp_sample() as a faster Rcpp implementation of sample()

shar 0.2

Improvements
- Replaced cat() with message() for all printing to console
- All defaults set to n_random = 1
- comp_fast argument equals TRUE if number of points exceed threshold
- reconstruct_pattern() stops if energy did not decrease for n iterations
- reconstruct_marks() stops if energy did not decrease for n iterations
- plot_randomized_pattern() can also plot point patterns
Bugfixes
- Bug in fit_point_process() that more points as present could be removed from simulated pattern
- Bug in reconstruct_pattern() that more points as present could be removed from simulated pattern