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L7_ETMs
- Landsat-7 bands for a selected region around Olinda, BR
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aggregate(<stars>)
- spatially or temporally aggregate stars object
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bcsd_obs
- Monthly Gridded Meteorological Observations
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c(<stars_proxy>)
c(<stars>)
- combine multiple stars objects, or combine multiple attributes in a single stars object into a single array
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as
coerce,stars,Raster-method
coerce,stars_proxy,Raster-method
coerce,stars,Terra-method
coerce,stars_proxy,Terra-method
- Coerce stars object into a Raster raster or brick
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contour(<stars>)
- plot contours of a stars object
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cut(<array>)
cut(<matrix>)
cut(<stars>)
- cut methods for stars objects
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filter.stars()
filter.stars_proxy()
mutate.stars()
mutate.stars_proxy()
transmute.stars()
transmute.stars_proxy()
select.stars()
select.stars_proxy()
rename.stars()
rename.stars_proxy()
pull.stars()
pull.stars_proxy()
as.tbl_cube.stars()
slice.stars()
slice.stars_proxy()
replace_na.stars()
replace_na.stars_proxy()
- dplyr verbs for stars objects
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expand_dimensions()
- expand the dimension values into a list
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geom_stars()
theme_stars()
- ggplot geom for stars objects
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`%in%`(<stars>)
- evaluate whether cube values are in a given set
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make_intervals()
- create an intervals object
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read_mdim()
write_mdim()
- Read or write data using GDAL's multidimensional array API
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split(<stars>)
merge(<stars>)
- merge or split stars object
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Ops(<stars>)
Math(<stars>)
Ops(<stars_proxy>)
Math(<stars_proxy>)
- S3 Ops Group Generic Functions for stars objects
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plot(<nc_proxy>)
plot(<stars>)
image(<stars>)
plot(<stars_proxy>)
- plot stars object, with subplots for each level of first non-spatial dimension
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prcomp(<stars_proxy>)
prcomp(<stars>)
- Principle components of stars object
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predict(<stars_proxy>)
predict(<stars>)
- Predict values, given a model object, for a stars or stars_proxy object
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as.data.frame(<dimensions>)
print(<dimensions>)
print(<stars>)
- print stars or dimensions object
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read_ncdf()
- Read NetCDF into stars object
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read_stars()
- read raster/array dataset from file or connection
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st_redimension()
- redimension array, or collapse attributes into a new dimension
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st_apply(<stars>)
- st_apply apply a function to one or more array dimensions
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st_as_sfc(<stars>)
st_as_sf(<stars>)
st_as_sf(<stars_proxy>)
- Convert stars object into an sf object
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st_as_stars()
- convert objects into a stars object
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st_cells()
- return the cell index corresponding to the location of a set of points
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st_contour()
- Compute or plot contour lines or sets
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st_coordinates(<stars>)
as.data.frame(<stars>)
as_tibble.stars()
- retrieve coordinates for raster or vector cube cells
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st_crop(<mdim>)
st_crop(<stars_proxy>)
st_crop(<stars>)
- crop a stars object
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st_dim_to_attr()
- create an array with dimension values
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st_dimensions()
`st_dimensions<-`()
st_set_dimensions()
st_get_dimension_values()
- get dimensions from stars object
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st_downsample()
- downsample stars or stars_proxy objects
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st_extract()
- Extract cell values at point locations
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st_geotransform()
`st_geotransform<-`()
- get or set the geotransform, or rotation matrix
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st_intersects(<stars>)
- spatial intersect predicate for stars and sfc object
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st_join(<stars>)
- Spatially join a stars and an `sf` object
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st_mosaic()
- build mosaic (composite) of several spatially disjoint stars objects
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st_raster_type()
- get the raster type (if any) of a stars object
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st_rasterize()
- rasterize simple feature geometries
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st_res()
- obtain (spatial) resolution of a stars object
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st_rgb()
- reduce dimension to rgb (alpha) hex values
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st_rotate(<stars>)
st_rotate(<sfc>)
st_rotate(<sf>)
- Transform rotated pole long/lat regular grid to unrotated curvilinear grid
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st_set_bbox()
- set bounding box parameters of regular grid
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st_sfc2xy()
- replace POINT simple feature geometry list with an x y raster
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st_tile()
- Specify parameters to load raster in blocks
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st_transform(<stars>)
st_transform_proj.stars()
- transform geometries in stars objects to a new coordinate reference system, without warping
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st_warp()
- Warp (resample) grids in stars objects to a new grid, possibly in an new coordinate reference system
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st_xy2sfc()
- replace x y raster dimensions with simple feature geometry list (points, or polygons = rasterize)
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stars_sentinel2
- Sentinel-2 sample tile
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`[<-`(<stars_proxy>)
`[`(<stars>)
`[<-`(<stars>)
st_flip()
- subset stars objects
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write_stars()
detect.driver()
- write stars object to gdal dataset (typically: to file)