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(geography/R-stars) Updated 0.4.3 to 0.5.3
# version 0.5-3 * `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 # version 0.5-2 * 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 # version 0.5-1 * 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 # version 0.5-0 * 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 `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
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