landscapemetrics 2.1.4
- Various
- Adding
landscape_as_list()
method for
PackedSpatRaster
landscapemetrics 2.1.3
- Bugfixes
- Fixed bug in
get_centroids()
related to the patch
id
- Various
- Improve documentation
- Improve labels of
show_patches()
landscapemetrics 2.1.2
- Bugfixes
- Bug in
spatialze_lsm()
with directions
argument
landscapemetrics 2.1.1
- Improvements
- Bugfixes
- Bugfix in calculate of clumpy if NA values are present
- Bugfix in construct_buffer that CRS was lost
landscapemetrics 2.1.0
- 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
- 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
- Bugfixes
- SHEI now equals 0 when only one patch is present
- Various
landscapemetrics 1.5.5
- 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
- Improvements
- Improved memory performance related to perimeter and edge
calculations
landscapemetrics 1.5.3
- 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
- Bugfixes
- Bug in
lsm_l_ai
if class with only one cell exists
- Various
- Renamed master to main branch
landscapemetrics 1.5.1
- Improvements
- Bugfixes
- Bug in
lsm_c_lsi
, lsm_c_nlsi
,
lsm_l_lsi
not using cell surfaces
landscapemetrics 1.5.0
- 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
- Improvements
- Improved RAM performance if
to_disk = TRUE
for
spatialize_lsm
and matrix_to_raster
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 functions
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
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