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How are stars objects subsetted in R-Spatial?
This brings us to subsetting! stars objects are collections (lists) of R arrays with a dimension (metadata, array labels) table in the attributes. R arrays have a powerful subsetting mechanism with e.g. where x [,,10 takes the 10-th slice along the third dimension of a four-dimensional array.
Which is an example of a spatial data cube?
Spatial data cubes are arrays with one or more spatial dimensions. Raster data cubes have at least two spatial dimensions that form the raster tesselation. Vector data cubes have at least one spatial dimension that may for instance reflect a polygon tesselation, or a set of point locations.
What does read _ stars do in raster file?
read_stars reads all bands from a raster dataset, or optionally a subset of raster datasets, into a single stars array structure. While doing so, raster values (often UINT8 or UINT16) are converted to double (numeric) values, and scaled back to their original values if needed if the file encodes the scaling parameters.
How are uint8 values converted to double values in stars?
While doing so, raster values (often UINT8 or UINT16) are converted to double (numeric) values, and scaled back to their original values if needed if the file encodes the scaling parameters. The data structure stars is a generalisation of the tbl_cube found in cubelyr; we can convert to that by
Do you need regular raster data for stars?
Raster data do not need to be regular and aligned with North/East, and package stars supports besides regular also rotated, sheared, rectilinear and curvilinear rasters:
How is stars used for vector and raster operations?
For vector and raster operations, stars uses as much as possible the routines available in GDAL and PROJ (e.g. st_transform, rasterize, polygonize, warp ). Read more about this in the vignette on vector-raster conversions, reprojection, warping.