Utilities

assign_crs(xx[, crs, crs_coord_name])	Assign CRS for a non-georegistered array or dataset.
crs_units_per_degree(crs, lon[, lat, step])	Compute number of CRS units per degree for a projected CRS at a given location in lon/lat.
geobox_union_conservative(geoboxes)	Union of geoboxes.
geobox_intersection_conservative(geoboxes)	Intersection of geoboxes.
scaled_down_geobox(src_geobox, scaler)	Given a source geobox and integer scaler compute geobox of a scaled down image.
intersects(a, b)	Returns True if geometries intersect, else False
common_crs(geoms)	Return CRS common across geometries, or raise CRSMismatchError
is_affine_st(A[, tol])	True if Affine transform has scale and translation components only.
apply_affine(A, x, y)	broadcast A*(x_i, y_i) across all elements of x/y arrays in any shape (usually 2d image)
roi_boundary(roi[, pts_per_side])	Get boundary points from a 2d roi.
roi_is_empty(roi)
roi_is_full(roi, shape)	Check if ROI covers the entire region.
roi_intersect(a, b)	Compute intersection of two ROIs
roi_shape(roi)
roi_normalise(roi, shape)	Fill in missing .start/.stop, also deal with negative values, which are treated as offsets from the end.
roi_from_points(xy, shape[, padding, align])	Compute envelope around a bunch of points and return it as roi (tuple of row/col slices)
roi_center(roi)	Return center point of roi
roi_pad(roi, pad, shape)	Pad ROI on each side, with clamping (0,..) -> shape
scaled_down_shape(shape, scale)
scaled_down_roi(roi, scale)
scaled_up_roi(roi, scale[, shape])
decompose_rws(A)	Compute decomposition Affine matrix sans translation into Rotation, Shear and Scale.
affine_from_pts(X, Y)	Given points X,Y compute A, such that: Y = A*X.
get_scale_at_point(pt, tr[, r])	Given an arbitrary locally linear transform estimate scale change around a point.
native_pix_transform(src, dst)	direction: from src to dst .back: goes the other way .linear: None|Affine linear transform src->dst if transform is linear (i.e.
compute_reproject_roi(src, dst[, tol, ...])	Given two GeoBoxes find the region within the source GeoBox that overlaps with the destination GeoBox, and also compute the scale factor (>1 means shrink).
split_translation(t)	Split translation into pixel aligned and sub-pixel components.
compute_axis_overlap(Ns, Nd, s, t)	s, t define linear transform from destination coordinate space to source >> x_s = s * x_d + t
w_	Translate numpy slices to rasterio window tuples.
warp_affine(src, dst, A, resampling[, ...])	Perform Affine warp using best available backend (GDAL via rasterio is the only one so far).
rio_reproject(src, dst, s_gbox, d_gbox, ...)	Perform reproject from ndarray->ndarray using rasterio as backend library.