KDE#

Note

Kernel density estimation converts point or line data into continuous density surfaces on a raster grid.

KDE#

xrspatial.kde.kde(x, y, *[, weights, ...])

Compute 2-D kernel density estimation from point data.

Line Density#

xrspatial.kde.line_density(x1, y1, x2, y2, *)

Compute line density from line-segment data.