NEWS

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landscapemetrics 2.1.4 (2024-07-22)

• Various
  • Adding landscape_as_list() method for PackedSpatRaster

landscapemetrics 2.1.3 (2024-06-26)

• Bugfixes
  • Fixed bug in get_centroids() related to the patch id
• Various
  • Improve documentation
  • Improve labels of show_patches()

landscapemetrics 2.1.2 (2024-05-02)

• Bugfixes
  • Bug in spatialze_lsm() with directions argument

landscapemetrics 2.1.1 (2024-01-09)

• Improvements
  • Simplify roxygen2 docs
• Bugfixes
  • Bugfix in calculate of clumpy if NA values are present
  • Bugfix in construct_buffer that CRS was lost

landscapemetrics 2.1.0 (2023-11-28)

• Improvements
  • Many performance improvements. Most visible are in calculate_lsm (all metrics: more than 5 times faster with 70% less memory allocation for augusta_nlcd; larger increases were found for smaller data) and window_lsm (a single metric: more than 6 times faster for augusta_nlcd; larger increases were found for smaller data)
  • Some performance improvements are related to the new "extras" mechanism, in which several objects are precalculated in calculate_lsm
  • Creates an internal extras_df object that lists which extras are needed by each metric
  • Replaces the use of tibble::tibble() with tibble::new_tibble(list()) in most functions. This change is partially responsible for improvements of the window_lsm speed
  • Replaces raster_to_points with get_points in several places. The get_points function is based on the column and row numbers multiplied by the resolution, not actual coordinates.
  • Replaces table with (faster) tabulate in lsm_p_core
• New functions
  • Adds a few internal helper functions and documents them, including prepare_extras, get_area_patches, get_class_patches, get_complexity, get_enn_patch, get_points, and get_perimeter_patch
• Bugfixes
  • Fixes window_lsm behaviour for situations with NAs values and non-square windows
• Various
  • Fixes several typos and improves documentation in many places
  • Uses object references in most rcpp functions

landscapemetrics 2.0.0 (2023-10-03)

• Improvements
  • terra and sf instead of raster and sp as underlying frameworks
  • Adjust all show_* functions to avoid ggplot2 warning
  • Update color palette of show_correlation
• New functions
  • points_as_mat() helper function
• Bugfixes
  • There was a bug introduced previously in the calculation of SHEI
  • extract_lsm returned an no-needed warning message
  • The shape index now follows exactly the definition of the FRAGSTATS manual
  • Minor bug in clumpy index fixed
• Various
  • Updated FRAGSTATS reference (thanks to Oto Kaláb @kalab-oto)
  • Update FRAGSTATS tests

landscapemetrics 1.5.6 (2023-03-23)

• Bugfixes
  • SHEI now equals 0 when only one patch is present
• Various
  • Removes rgeos dependency

landscapemetrics 1.5.5 (2022-10-31)

• Improvements
  • get_patches returns a unique patch id for all classes
  • Adds adds the ability to use a circular window in window_lsm()
• Bugfixes
  • SHEI now equals to 0 when only one patch present
• Various
  • Fixes typo in Maintainer name

landscapemetrics 1.5.4 (2021-09-02)

• Improvements
  • Improved memory performance related to perimeter and edge calculations

landscapemetrics 1.5.3 (2021-07-06)

• Improvements
  • Improved terra objects (SpatRaster) support for almost all functions.
  • Bugfix in get_boundaries() for matrix input and return_raster = TRUE
  • Better naming of list outputs
• Bugfixes
  • Adding rel_mut_inf to list_lsm()
  • Fix changes due to new ggplot2 version

landscapemetrics 1.5.2 (2021-02-04)

• Bugfixes
  • Bug in lsm_l_ai if class with only one cell exists
• Various
  • Renamed master to main branch

landscapemetrics 1.5.1 (2020-12-04)

• Improvements
  • Use GitHub actions
• Bugfixes
  • Bug in lsm_c_lsi, lsm_c_nlsi, lsm_l_lsi not using cell surfaces

landscapemetrics 1.5.0 (2020-09-17)

• Improvements
  • Improved internal understanding of input classes
  • Adds terra objects (SpatRaster) support
• New functions
  • lsm_l_relmutinf to calculate relative mutual information

landscapemetrics 1.4.6 (2020-08-10)

• Improvements
  • Improved RAM performance if to_disk = TRUE for spatialize_lsm and matrix_to_raster

landscapemetrics 1.4.5 (2020-07-08)

• 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 functions
  • get_centroid() returns the coordinates of each patch centroid

landscapemetrics 1.4.4 (2020-05-15)

• 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 (2020-03-14)

• 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 (2020-01-20)

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

landscapemetrics 1.4.1 (2020-01-12)

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

landscapemetrics 1.4 (2019-12-11)

• 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 (2019-11-07)

• Bugfixes
  • Remove NAs on patch level for shape index

landscapemetrics 1.2.2 (2019-09-10)

• 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 (2019-08-07)

• 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 (2019-07-02)

• 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 (2019-04-25)

• 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 (2019-03-15)

• 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 (2019-01-23)

• 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 (2018-12-07)

• 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 (2018-09-30)

• 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 (2018-08-14)

• 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 (2018-08-11)

• First submission to CRAN