- 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

- 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

- Bugfixes
- Bug in total edge calculation

- Improvements
- Adds a support for sf polygons in sample_lsm

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

- 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.**

- Improved connected-component labelling algorithm.

- Bugfixes
- Make sure all CRAN checks run

- Bugfixes
- Return NA if all cells are NA

- Improvements
- Cleaner handling of warnings

- Bugfixes
- Remove NAs on patch level for shape index

- Bugfixes
- Bug in
`lsm_p_circle()`

when whole landscape contains only one patch - Bug in
`extract_lsm()`

that directions argument was not passed on

- Bug in
- New functions
`unpad_raster`

to remove padding around raster

- Improvements
- New argument in
`get_boundaries`

to consider landscape boundary

- New argument in

- 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

- 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)

- 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

- Bugfix in
- 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

- The values can be added as geom_text in
- Renaming
`get_lsm()`

is now called`spatialize_lsm()`

- 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

- New function
- 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

- Bugfix in
- 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)

- Removing all functions from

- 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

- fixing bug in
- 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()`

- Renamed argument

- 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

- New function
- 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

- Bugfix in
- 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

- Most
- 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)

- 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

- 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

- First submission to CRAN