cogpy.measures.spatial

Spatial signal measures for 2D electrode grids.

Status

STATUS: ACTIVE Reason: Spatial characterization measures for iEEG grid recordings. Superseded by: n/a Safe to remove: no

Grid convention:

grid : (…, AP, ML) — AP rows, ML columns Batch dims (time, freq, etc.) are leading; spatial axes are always last. Scalar measures reduce (AP, ML) → scalar, so output shape is (…). 2D input returns a Python float for backward compatibility.

Functions

csd_power(grid_signal, *[, spacing_mm, axis])	Current Source Density (CSD) via 2D Laplacian of surface potential.
gradient_anisotropy(grid)	Gradient anisotropy ratio for a spatial grid.
marginal_energy_outlier(grid, *[, robust, ...])	Row and column energy outlier scores for a spatial grid.
moran_i(grid, *[, adjacency])	Moran's I spatial autocorrelation for a scalar grid map.
spatial_coherence_profile(grid_signal, fs, *)	Mean coherence as a function of inter-electrode distance.
spatial_kurtosis(grid)	Excess kurtosis of the spatial amplitude distribution.
spatial_noise_concentration(grid, *[, k])	Fraction of total grid energy in the top-k electrodes.
spatial_summary_xr(da, *[, measures, ...])	Compute scalar spatial summaries preserving non-spatial coords.