stilt.observations.plumes.kernel_density

stilt.observations.plumes.kernel_density(longitudes, latitudes, *, bandwidth=(0.1, 0.15), n=100)

Gaussian kernel density of points on a regular n × n lon/lat grid.

The bandwidths follow R’s MASS::kde2d: the kernel’s standard deviation is a quarter of bandwidth in each direction (so the defaults are 0.025° in longitude and 0.0375° in latitude). The grid spans the points plus one bandwidth on every side. The result is normalised to a maximum of one, since only the shape matters.

Return type:

DataArray

Parameters:

• longitudes (_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes])

• latitudes (_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes])

• bandwidth (tuple[float, float])

• n (int)