export read_mdim(), a reader using GDAL’s
multidimensional array API (for sf <= 1.0-8)
remove tos_O1_2001-2002.nc from packaged datasets to
keep source package size below 5 Mb
as.POSIXct.stars() converts PCICt
dimensions to POSIXct values.
improve handling of PCICt 360 or 365 day calendars;
read them in read_mdim (requires sf >= 1.0-9)
read_stars() reads factor levels better from
attribute table; #484 thanks to @ailich
read_stars() puts band names from
band_meta DESCRIPTION= tags into
values;
improve handling of categorical rasters, and their exchange with
terra; #484
plot() handles auto colors better for factor
arrays
read_ncdf() handles units more formally in setting
crs; #533
print message that dimensions of proxy objects do not reflect unevaluated operations; #530
passing na.action = na.omit to
geom_stars() removes NA values; #532
read_stars() detects curvilinear grids
automatically; #513
st_warp() warps curvilinear grids (using Euclidean
distances only on coordinates); #513
Ops.stars() errors when (common) dimension are not
identical; #506
guess_raster() accepts empty rows/columns and sparse
grids; #509
speed up rgb plotting; #503
Added a new helper function st_tile() to specify the
block parameters (nXOff, nYOff,
nXsize, nYSize) required by
RasterIO argument in read_stars(); #492 thanks
to Krzysztof Dyba
st_as_stars.bbox() creates an empy raster file if
proxy = TRUE; #489
st_rasterize() has option align = TRUE
to use a template for aligning the new raster to; #489
adrop.stars() with missing dimensions no longer
drops x/y raster dimensions; #485
aggregate.stars() propagates units of arrays;
#477
c.stars() fails if it tries to merge arrays with
different units; #475
For NetCDF files, read_stars() uses the
long_name as array name; #475
add rename() method; #470
refresh CRS of packaged L7_ETMs.tif; #466
as.data.frame.stars() works for mixed regular and
rectilinear dimension; #458
plot.stars() plots curvilinear rasters with color
table, or without table but col argument passed;
#456
st_extract() accepts a matrix with points as
at argument, for when performance is important; see
e.g. https://github.com/rspatial/terra/issues/341
fix bug in st_crop() when cropping area is larger
than grid; #455
export st_downsample(), e.g. to be used by
tmap; https://github.com/r-tmap/tmap/issues/597
argument downsample in plot.stars() and
st_as_stars.stars_proxy() and st_downsample()
has the same effect (removed a one-offset between them).
st_redimension() works for curvilinear grids;
#441
downsample is propagated to subexpressions like
r[r < 50] = NA
predict.stars() obtains an argument
drop_dimensions that, if TRUE, drops
dimensions from the prediction data.frame; #362
extend options in st_rgb(), #432, by Gabo
Gaona
allow subsetting with [ by using labels, e.g. of
band names.
read_stars() accepts a function (or list with
functions) as first argument, allowing for saving stars
objects that read from package directories resolving platform-dependent
paths at run-time
handle categorical rasters starting at value 0 (by adding 1, and warning); #428
add %in% method; #424
read_stars() gains an argument
tolerance to control tolerance in dimension value
comparisons; #414
binary Ops (like +, -, *
etc.) work for stars_proxy objects; #390
st_rasterize() rasterizes multiple attributes, and
handles factors (when sf >= 0.9-9)
write_stars() deals better with
stars_proxy objects; #404
fix regression in reading some stars_proxy objects;
#379
add [<- (partially) and is.na
methods for stars_proxy objects; #402
add replace_na() methods; #402
read and write factor levels as GDAL category names; write color table; #392
handle normalize_path for choosing to
proxy; #391
ignore units when there are different units accross bands of a subdataset
speed up st_rgb() using faster
st_apply() approach; #315, #390
improve handling of crs in Spatial objects (avoid loss of wkt comments)
correctly write band subsets for smaller proxy objects; #291
write arbitrarily cropped proxy objects; #291
speed up st_apply() when a function is provided that
works on chunks at a time; #390
warn when breaks = “quantile” results in a single class; #388
fix [ bug selecting bands in proxy objects;
#388
for stars_proxy objects, write_stars()
writes all objects into a multi-layer file; #385
multi-file proxy objects can be st_warp()ed with
use_gdal = TRUE; #385
fix weird GDAL-related bug in stars2 vignette
read_ncdf() does not take time as mid-points of
regular intervals, but as starting points; #378
fix handling of rasters with color tables; #375
st_apply() and other methods for
stars_proxy objects handle … ; #374
add st_bbox(), st_crs() methods for
terra’s SpatVector objects;
https://github.com/mtennekes/tmap/issues/536
add st_bbox(), st_crs() and
st_as_stars() methods for terra’s SpatRaster
objects; https://github.com/mtennekes/tmap/issues/536
allow for multi-resolution attributes in stars_proxy
objects (e.g., all gray scale sentinel-2 bands); see vignettes 2 and 7
for examples.
plot() defaults to a categorical color scale when
plotting a factor variable;
https://github.com/mtennekes/tmap/issues/526
st_extract() extracts space-time points if
time_column is specified, and handles time intervals;
#352
add [[<-.stars method, which is now called by
$<-.stars, so that array names can be set
programmatically
add transmute() methods
plot.stars() calls droplevels if a
factor array has any NA levels; #339
read_stars() reads NaNs as
NA; #333
improve st_extract() method for both
stars and stars_proxy objects; interpolation
options are reduced to bilinear; #322, #279, #290
better handle categorical rasters that do not start at value 1; #329
plot layout can be controlled with mfrow = c(nr, nc)
argument
stars_proxy objects have a normalized path;
#331
cropping or selecting with bbox treats cells always
as small polygons; #330
add faster st_extract() method for
stars objects; #322
added vignette: “How raster functions map to
stars functions”, by Sebastien Rochette; #122,
#325
fix bug in dimension values field when downsampling;
#324
write_stars() also writes out band names;
#323
add rgdal to Suggests:
each call_list entry of a stars_proxy
object carries its proper calling environment; #309
st_as_sf.stars() copes with zero attribute (empty)
stars objects
add st_set_bbox() generic, to set raster extent,
motivated by #315
set up tic, with great help from @pat-s, #313
get rid of more proj4strings for representing
coordinate reference systems; #312
as(x, “Spatial”) correctly handles from dimension
values different from one
read_stars() now sets the BANDNAME GDAL
metadata item, or else the band’s GetDescription() as the band’s
dimension values
st_as_stars.data.frame() reads simple tables
(non-raster data) if dims has length less than 2
band descriptions are in the band dimension values
dimension tables are simpler, and are shown properly in Rstudio
st_rgb() gains a probs argument, to cut
off and stretch based on quantiles
as(x, "Raster") merges multiple attributes before
converting to raster brick
fix bug in st_as_stars.Raster; set crs to the one
assigned by raster;
https://github.com/mtennekes/tmap/issues/471
add s2 to Suggests:
new function st_rgb() collapses (reduces) a
dimension to rgb hex value; #302
aggregate.stars() handles arrays with NA values now
correctly; brought up in #299 by Thorsten Simon
aggregate.stars() gains an argument
exact which, if TRUE, calls
exactextractr for polygonal aggregation; #289
read_stars() reads all subdatasets with dimensions
equal to first, and warns when ignoring others; #296
make copying over of dimensions somewhat easier; #295
st_as_stars.Raster() tries to read from file if the
raster object is not an in-memory object.
write_stars() normalizes path, as
read_stars already did; #293
merge() for proxy objects acts, and is no longer
lazy; #290
st_as_stars.Raster() returns a proxy object if the
raster layer is on disk
add st_extract() to extract e.g. time series from
grids at point locations; #279; #290
read_stars() chooses a value for proxy
that depends on the data dimensions; #281
x/y range subsetting of stars_proxy objects now only
reads that range, similar to how crop already did this.
st_warp() preserves levels and colors;
https://github.com/mtennekes/tmap/issues/429
st_crop() works with bounding boxes larger than the
downsampled bounding box; #276
st_crop() has a non-zero default for
epsilon (bounding box shrinkage) to exclude cells touching
the crop bounding box; #275
image.stars() (and hence plot.stars)
gains an extent argument for setting the extent of a plot;
https://github.com/r-spatial/sf/issues/1193
st_warp() (stars native) flips longitudes a full
cycle; #256, #264, #269
handle axis order in st_transform (requires sf >=
0.9-1)
depend on sf 0.9-0
adapt to cubelyr split-off from dplyr; add cubelyr to Suggests:; https://github.com/hadley/cubelyr/issues/2
add droplevels() method
handle color tables, category tables and raster attribute tables read through GDAL; #128, #245; https://github.com/r-spatial/mapview/issues/208
handle dimension crs specially, for proxy objects
now.
handle new-style crs objects from upcoming sf,
moving away from proj4strings
handle full crs objects as refsys
element in a spatial dimensions, rather than proj4string only
st_raster_type(x) reveals the raster type of
x; #248,
https://github.com/mtennekes/tmap/issues/368
add st_as_stars.OpenStreetMap() method; #241 by
@mtennekes
add st_flip() to flip arrays along one or more
dimensions without changing dimension properties
add as.owin() method to convert (2D raster) stars
objects to spatstat owin;
https://github.com/r-spatial/sf/issues/1233
for temporal aggregation, aggregate.stars now also
takes by arguments like “week”, “month”, or “5
days”
add st_as_stars() method for xts
objects; improve as.xts for stars
objects
skip some tests on solaris
plot() now uses all data to figure out breaks, in
order to also find extremes; #216
st_mosaic() creates mosaics from spatially disjoint
rasters; #210
#205 large refactoring of read_ncdf, by David
Blodgett and Mike Sumner, affecting #199, #89, #30, #86, #175
allow for funny units like m s**-1; #201
add contour() method for stars objects;
#196
plot uses rasterImage by default if available;
#194
the x and y raster dimensions can be
set and unset with xy argument in
st_set_dimensions; #190
retain factor levels with dimension values when set
in st_set_dimensions; #188
add conversion from stars_proxy to
Raster: #193
make plotting of multiple curvilinear grids work
plot by default no cell borders in case of curvilinear, rotated or sheared grids
robustify handling of units
allow read_ncdf() to ignore bounds
scale was applied wrongly on multi-band images; #189, this requires sf >= 0.7-5
.nc is now recognized correctly by
write_stars and will write a NetCDF file; #186
[ subset now works correctly with negative or
logical indices; #184, #185
NA values for float32 grids are now correctly
detected; #182, this requires sf >= 0.7-5
cropping of a stars_proxy object now works;
#179
st_apply() can now loop over Raster layers; examples
in #176
st_as_stars.bbox now has an ncells and
pretty argument, to better choose default raster
dimensions
geom_stars now works with stars_proxy
objects, but needs downsample to be set; #21
NA values in Float32 rasters are now read correctly
with read_stars; #182
handle bounds, when given, in read_ncdf
provide time parsing (POSIXct, PCICt) for read_ncdf;
#115
add st_area method to return raster grid cell sizes;
#99
fix st_warp with use_gdal=TRUE,
allowing for multi-band warps
add st_get_dimension_values to get the values of a
particular dimension (if meaningful); #100
allow for setting intervals as dimension values; see examples of
st_dimensions
add st_contour, and clean up st_as_sf;
#99
experimental color table support; https://github.com/r-spatial/mapview/issues/208
rewrote vignettes, added vignettes; #99
deprecate st_write.stars for
write_stars; #96
use “native” R array-factor support
support for PCICt 360- and 365-day calendars;
#29
remove import of ncdf4 in favour of
RNetCDF, now in line with practice in ncmeta
package. Thanks to David Blodgett for motivation and testing (see #87,
#94).
st_as_sf uses date/time column names when
appropriate
allow missing trailing comma’s when subsetting:
a[1,,] and a[1,] now do the same.
move rlang to Imports: ; rewrite [
subset using rlang.
add conversion to and from Spatial* classes,
including the gridded ones, taking care of factor
variables
depend on sf 0.7-2
add logz support for log-scale keys to plot and
image
vignettes now use an external package, starsdata,
for larger dataset examples
support [<-.stars e.g. to mask out values;
support is.na.stars to replace NA masks
support cut methods and factor arrays (plot,
subset); #56
add st_rasterize, which uses
GDALRasterize to rasterize an sf object; #13
st_as_sf.stars now uses
GDAL(F)Polygonize when give a regular or sheared grid grid
cells are not points, and returns contour bands using
GDALContourGenerateEx (requiring GDAL 2.4.0) in case cells
are points; #13
support curvilinear grids; see #54 and the
data_model vignette
add vignette about how stars_proxy objects
work
stars_proxy objects defer processing of
st_apply jobs until after subsampling; #50
allow reading sections of a raster, raster at a lower resolution, selected bands; #48
allow reading vectors (arrays) with more than 2^31 elements; #48
fold all higher dimensions into the third dimension before
coercing to Raster; #40
read_starsadd merge (merge attributes into array dimension)
and split (split dimension over attributes)
interface to sf, raster and spacetime
improve plotting
handle logical arrays in plot
add st_apply, analogous to
apply
add cropping/masking when used as x[buf] with buf an
sf, sfc or bbox object; masking
when x[buf, crop = FALSE]
add Ops (+,-,/ etc) and Math (sqrt, pow, sin etc) methods
add dimnames and dimnames<- methods
for stars objects
downsample large grids to only plot pixels actually shown
can plot rectilinear grids (but will plot rgb images as regular grids)
rgb argument to image works
[ array-like subsetting works; first index is
attribute selector
gdal_utils()
(now part of sf)