fix st_as_stars.Spatial()
for Spatial
gridded objects with non-square grid cells, see https://github.com/r-spatial/gstat/issues/123
add prcomp()
methods for stars
and stars_proxy
objects, working on attributes or last dimension
st_rasterize()
with align=TRUE
returns NA
values where there are no data; #668
read_mdim()
reads tables with composity type, returning a data.frame
in that case; #659
st_rotate()
transforms a rotated grid back to a curvilinear grid in unrotated coordinates.
aggregate.stars()
deals with functions that return more than one number, putting these in a new dimension like st_apply()
does
st_as_stars.data.frame()
and st_as_stars.sf()
better handle non-raster data cubes
plot.stars()
only resets layout when needed (more than one sub-plot, or key present)
fixed st_as_stars.im()
; #648
st_crs<-.stars()
is less critical on existing CRS being of class crs
c.stars()
with a single (valid) argument and along
specified adds a dimension; #646
st_join.stars()
keeps attributes from x
complete; #643
st_as_stars.list()
requires a named list, and will set names of array dimensions if not present
plot.stars()
has a fill
argument that shifts unused plotting space between sub-maps to the bottom or right side of the plotting area
in plot.stars()
, the key.width
default is sensitive to par("ps")
, the pointsize graphics parameter
plot.stars()
and image.stars()
are sensitive to cex.axis
, for axes and key (requires sf >= 1.0-14); #642
move lwgeom
dependency to Suggests; using st_transform_proj()
on vector data cubes requires loading lwgeom
first
st_downsample()
has argument offset
to pixel-shift downsampled images
st_downsample()
has argument FUN
to compute sub-tile aggregates; #604
st_as_stars.bbox()
retains factor
values; #640
fix CRAN error in test script
st_crop()
works (and warns) for the case when the crop area does not overlap with the area of the object; #638
split.stars()
accepts stars
objects with multiple attributes; #635
[.stars()
supports NA
values in dimension ranges for vector geometry (sfc
) dimensions, resulting in empty geometries
st_extract()
supports extracting points values from curvilinear grids (when not proxy); #632
read_mdim()
reads curvilinear rasters (geolocation arrays), so far only at full extent/resolution
st_as_stars.stars()
accepts curvilinear argument with lon/lat array names present in .x
consistently use OGC:CRS84
instead of EPSG:4326
setting values = NULL
in st_set_dimensions()
removes dimension values
more gracefully handle plotting of global coverage curvilinear grids; #632
image.stars()
plots images (e.g. of cross sections) when x and/or y are singular or absent; #628
st_as_stars.cubble_df()
adds conversion from cubble; cubble::as_cubble()
methods converts back
[<-.stars()
accepts for i
an indicator (numeric length character) to the array to be replaced; #626
plot.stars()
gains an argument key.lab
to set the legend key label (requires sf >= 1.0-13)
remove rgdal
dependency
read_stars()
fixes combining bands with different block sizes; #623
st_warp()
gets (proper) default value for threshold
; #618
read_mdim()
reads "raster" with single pixel (as a point)
[.stars()
, as in r[x]
allows x
to be a logical stars object
[<-.stars_proxy()
clones environment, so that after r[r > 100] = NA
we don't get infinite recursion when realizing r
read_stars()
avoids reading a raster twice to determine how to choose proxy
; proxy
can now be set as (and defaults to) the number of cells (bands * rows * columns) above which data will not be read in memory but returned as stars_proxy
object; #609
fix using RasterIO
in read_stars()
when proxy=TRUE
; #608
plot.stars()
hook function can handle arguments row
, col
, nrow
, ncol
, nr
, value
and bbox
; #600
fix handling of categorical rasters with colors but without category labels; #595, fallout of #565
fix subsetting of proxy objects over a time range; #596
write_stars()
writes scaled and/or shifted values when using argument scale_offset
; #589
aggregate.stars_proxy()
implements aggregation with non-spatial by
objects (lazily)
fix [.stars_proxy()
when selecting dimension 3 and higher; #561
in plot.stars()
, col
can also be a palette function
st_res()
returns spatial resolutions, and optionally all dimension resolutions; #557 thanks to Krzysztof Dyba
read_stars()
shortens band or array names that contain a common start or ending, unless names would become empty or shorten=FALSE
was set; e.g. shorten="B"
puts a B
before shortened array names
printing stars
dimension tables omits fields with only NULL
or NA
values, unless print(..., all = TRUE)
is given
improve reading categorical rasters, which now avoids calling factor()
; #565 thanks to Krzysztof Dyba
read_mdim()
will read bounds arrays for coordinates using the bounds
attribute, and accepts a bounds
argument to specify them when that attribute is missing
time()
returns time stamps of a time dimension
st_cells()
returns the cell index for a set of point coordinates, provided as sf
or sfc
object; #558
reading & writing vector data cubes: read_mdim()
reads CF compliant vector geometries, and reconstructs them into an sfc
dimension; write_mdim()
writes them.
write_mdim()
uses GDAL multidimensional array API;
read_mdim()
uses arguments offset
, count
and step
to read sub-arrays or strided arrays (requires sf >= 1.0-9)
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 across 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/r-tmap/tmap/issues/536
add st_bbox()
, st_crs()
and st_as_stars()
methods for terra's SpatRaster
objects; https://github.com/r-tmap/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/r-tmap/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 NaN
s 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 proj4string
s 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/r-tmap/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/r-tmap/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/r-tmap/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
read_ncdf
, by David Blodgett and Mike Sumner, affecting #199, #89, #30, #86, #175allow 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 favor 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_stars
add 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
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