opendvp.tl.spatial_autocorrelation#

spatial_autocorrelation(adata, method='moran', x_y=('x_centroid', 'y_centroid'), k=8, threshold=10.0, island_threshold=0.1)#

Compute spatial autocorrelation statistics (Moran’s I or Geary’s C) for each gene in an AnnData object.

Parameters#

adataAnnData: Annotated data matrix where observations are cells and variables are genes.
method{‘moran’, ‘geary’}, default ‘moran’: Spatial statistic to compute: ‘moran’ or ‘geary’.
x_ySequence[str], default (“x_centroid”, “y_centroid”): Names of columns in adata.obs containing spatial coordinates.
kint, default 8: Number of neighbors for Moran’s I (ignored for Geary’s C).
thresholdint or float, default 10.0: Distance threshold for neighbors for Geary’s C (ignored for Moran’s I).
island_thresholdfloat, default 0.1 (10%): If more than this fraction of samples are islands (no neighbors), raises error.