InferenceResult
The object returned by GeoBayesianNetwork.infer().
Holds per-pixel probability distributions for one or more query nodes. The spatial
metadata (crs, transform) mirrors the reference grid used during inference.
Class reference
InferenceResult
dataclass
Holds per-pixel probability distributions for one or more query nodes.
Attributes
probabilities: Mapping from query node name to a (H, W, n_states) float32 array. NaN where any input was NoData. state_names: Mapping from query node name to its ordered list of state labels. crs: CRS of the output grid as an EPSG string or WKT. transform: Affine pixel-to-world transform of the output grid.
to_geotiff
Write one multi-band GeoTIFF per query node.
Band layout (1-indexed): Bands 1…N — P(state_i | evidence) for each state i Band N+1 — Shannon entropy
Band descriptions contain the state label or "entropy".
to_xarray
Return an xarray Dataset with spatial coordinates.
Each query node becomes a DataArray with dimensions
(state, y, x). Entropy is added as a separate variable
{node}_entropy with dimensions (y, x).
show_map
show_map(output_dir='.', filename='map.html', overlay_opacity=0.65, open_browser=True, extra_layers=None, show_probability_bands=True, show_category=True, show_entropy=True)
Generate and optionally open an interactive Leaflet map.
Parameters
output_dir:
Directory to write the HTML file into.
filename:
Output filename (default map.html).
overlay_opacity:
Opacity of probability overlays (0–1).
open_browser:
If True (default), open the map in the default browser.
extra_layers:
Additional named (H, W) arrays to include as overlays
(e.g. {"Slope angle (°)": slope_deg}).
show_probability_bands:
If False, omit the individual P(state) layers (default True).
show_category:
If False, omit the argmax category layer (default True).
Returns
Path Path to the written HTML file.
Band layout in GeoTIFF output
When calling to_geotiff(output_dir), one multi-band GeoTIFF is written per query
node:
| Band | Content |
|---|---|
| 1 … N | P(state_i | evidence) for each state i |
| N + 1 | Shannon entropy (bits) |
Band descriptions in the file metadata contain the state label or "entropy".
Example
result = bn.infer(query=["avalanche_risk"])
# Inspect probabilities
probs = result.probabilities["avalanche_risk"] # (H, W, 3)
print(probs.shape) # (80, 240, 3) for an 80×240 grid with 3 states
# Entropy map
ent = result.entropy("avalanche_risk") # (H, W)
# Export
result.to_geotiff("output/") # writes avalanche_risk.tif
ds = result.to_xarray() # xarray Dataset with (state, y, x) dims
result.show_map() # opens browser