landscapemetrics 1.4.5

• Bugfixes
  • Fix of patch id in get_circumscribingcircle()
• Improvements
  • lsm_p_gyrate has an argument to force the cell centroid to be within patch
  • get_nearestneighbour() can now return ID of neighbouring patch
  • get_boundaries() allows now to specify edge depth
  • get_boundaries() can return the patch id for edge cells
• New gunctions
  • get_centroid() returns the coordinates of each patch centroid

landscapemetrics 1.4.4

• Improvements
  • Set labels = FALSE as default for all plotting functions (messy for larger raster)
  • Add argument to sample_lsm() that adds NA if class is not present in sample plot

landscapemetrics 1.4.3

• Improvements
  • Improved algorithm to calculate circumscribing circle. This refers to both speed and accuracy.
  • The circumscribing circle is now also calculated for patches with only one cell
• Bugfixes
  • Bugfix for all functions that produce warnings

landscapemetrics 1.4.2

• Bugfixes
  • Bug in total edge calculation
• Improvements
  • Adds a support for sf polygons in sample_lsm

landscapemetrics 1.4.1

• Bugfixes
  • Bug in the connected-component labelling algorithm for non-rectangular landscapes

landscapemetrics 1.4

• Improvements
  • Improved connected-component labelling algorithm. Note: The algorithm labels the patches in a different order and therefore may use different patch IDs compared to previous versions.

landscapemetrics 1.3.2

• Bugfixes
  • Make sure all CRAN checks run

landscapemetrics 1.3.1

• Bugfixes
  • Return NA if all cells are NA
• Improvements
  • Cleaner handling of warnings

landscapemetrics 1.3

• Bugfixes
  • Remove NAs on patch level for shape index

landscapemetrics 1.2.2

• Bugfixes
  • Bug in lsm_p_circle() when whole landscape contains only one patch
  • Bug in extract_lsm() that directions argument was not passed on
• New functions
  • unpad_raster to remove padding around raster
• Improvements
  • New argument in get_boundaries to consider landscape boundary

landscapemetrics 1.2.1

• Bugfixes
  • Allow sf points for sampling metrics
  • Make sure x-y coordinates are used in sample_lsm()
  • Size argument is not needed for polygons in sample_lsm()
  • Make sure sample_lsm() can use SpatialPolygonsDataFrame
• Improvements
  • Update citation

landscapemetrics 1.2

• New functions
  • calculate_correlation() returns a tibble with all correlations between metrics
  • scale_sample() allows to sample landscape metrics in buffer with increasing size
  • scale_window() allows calculate selected metrics in moving windows over the provided landscape.
• Improvements
  • show_correlation() can take result from calculate_correlation()
  • sample_lsm() returns a warning if percentage_inside < 90%
  • sample_lsm() and extract_lsm() can now be used with sample_ids (rather than just 1…n)

landscapemetrics 1.1

• Bugfixes
  • Bugfix in lsm_c_ai() if only one class and NA values were present
  • Bugfix in show_correlation() that first col was lost
  • Bugfix in sample_lsm() and extract_lsm() to forward arguments to calculate_lsm()
  • size argument in sample_lsm() is now comparable between squares and circles
  • Bugfix in window_lsm() that some arguments were not passed on (resolution and points)
  • Bugfix in extract_lsm() and window_lsm() that allowed metric subset was wrong
• Improvements
  • The values can be added as geom_text in show_correlation()
  • list_lsm() allows to return all BUT the selected metrics
  • sample_lsm() can now use SpatialPolygons to sample metrics
  • sample_lsm() can now handle SpatialLines to sample metrics
  • sample_lsm() automatically detects provided data type
  • extract_lsm() can now handle SpatialLines to extract metrics
  • Updates the way of calculating lsm_l_ent() and thus lsm_l_condent() and lsm_l_mutinf().
  • calculate_lsm()/extract_lsm()/sample_lsm()/spatialize_lsm()/window_lsm() can print progress
  • replaced cat() with message()
  • calculate_lsm() returns an error message if selected metrics do not exist
  • construct_buffer() can now return a matrix with coords instead of polygons
  • calculate_lsm() checks the input data before calculating metrics
• Renaming
  • get_lsm() is now called spatialize_lsm()

landscapemetrics 1.0

• New functions
  • New function moving_window() to calculate metrics within a moving window
  • New function get_lsm() to raster in which each cell has patch metric value
• Bugfixes
  • Bugfix in check_landscape() if NA values were present
  • Bugfix in pad_raster() that pad_raster_cells > 1 did not work
  • Bugfix in calculate_lsm() calculating class area where resolution was lost
• Improvements
  • Removing all functions from dplyr
  • Better structure for helping functions of check_landscape()
  • Better handling of RasterStacks for check_landscape()
  • pad_raster() is now typestable and always returns a list
  • pad_raster() can now return also a RasterLayer (and not just a matrix as)

landscapemetrics 0.3.1

• Bugfixes
  • fixing bug in sample_lsm() that occured when metrics where selected using what argument
  • Bugfix in lsm_p_core() if only one patch is present
  • Bugfix in lsm_p_circle() if only one cell is present in class
  • Bugfix in lsm_p_hyrate() if only one cell is present in class
  • Bugfix in get_adjacencies() that checks if neighbourhood was specified correctly did not work properly
• Improvements
  • sample_lsm() now returns a tibble including an extra column if return_raster = TRUE (and not a nested tibble as before)
  • Better explanation on how to specify metrics for list_lsm(), calculate_lsm() and `sample_lsm()
• Renaming
  • Renamed argument return_plots to return_raster in sample_lsm()

landscapemetrics 0.3

• New functions
  • New function check_landscape to make sure your landscapes are feasible for landscapemetrics
  • New function raster_to_points() to get also NA cells (not possible with raster::rasterToPoints)
  • New function get_boundaries() to get only boundary cells
  • New function get_unique_values() that shows all uniques labels in a class
  • New function list_lsm() function to print available metrics
  • New function show_lsm() function to vizualize patch level metrics
• Bugfixes
  • Bugfix in lsm_l_rpr: Typo in internal function, used landscapemetrics::landscape instead of user input
  • Bugfix in all show_() * functions that na.value color is identical
• Improvements
  • Most get_-functions can now take matrix as input and also return a matrix
  • calculate_lsm() now uses list_lsm(). This allows more options to specify metrics to calculate
  • Updated structure of lsm_abbreviations_names
  • show_()-functions don’t throw warnings
  • “global” facet for all show_() functions
  • extract_lsm() now uses list_lsm(). This allows more options to specify metrics to calculate
  • rcpp_get_coocurrence_matrix() can now handle large rasters and is faster
  • lsm_p_circle() and get_circumscribingcircle() now consideres different x- & y-resolutions
  • Generally, a better use of Rcpp to decrease computational time and memory demand
• Renaming
  • Renamed “new metric” group to “complexity metric” group
  • what arguments of all show_()-functions now are named class for consistency (so all what arguments deal with metrics)
  • what arguments of get_patches() is now named class for consistency (so all what arguments deal with metrics)

landscapemetrics 0.2

• Unified naming scheme for all auxiliary functions:
  • calculate_metrics is now calculate_lsm
• Implemented show_cores, a function to plot the core area of patches
• show_patches now also shows labelled class facets (option what)
• All plot functions have the same theme
• Implemented sample_lsm, a function to sample metrics around buffered points
• Implemented extract_lsm, a function to extract landscape metrics for spatial coordinates
• Removed all functions from the purrr package and replaced them by lapply
• Removed all pipes
• calculate_lsm has the option progress
• consider_boundary is available for all core metrics
• The edge_depth can be specified for all core metrics

landscapemetrics 0.1.1

• Replaced isFALSE() with !isTRUE() to be compatibile to R (> 3.1)
• Bugfix: lsm_p_core() and lsm_p_ncore() now takes landscape boundary into account
• Added namespace prefix std::fmod() in get_adjacency.cpp

landscapemetrics 0.1.0

• First submission to CRAN