eaarl.rcf

Random-consensus filter algorithms

eaarl.rcf.rcf_grid(x, y, z, width, cell_size, min_winners=3, tie=None)

Determines which points pass the gridded RCF filter

Returns an array of Boolean values where True means a point passed the filter. The filter divides the points into cells based on cell_size, then finds points with elevation values that pass the RCF filter using the given width.

Parameters

x : array-like of floats

x coordinates for points

y : array-like of floats

y coordinates for points

z : array-like of floats

z coordinates for points

width : numeric

Vertical search window to use in each cell

cell_size : numeric

Horizontal cell size

min_winners : integer

Minimum number of points needed for winning points to pass the filter in a grid cell

tie : string or None

Specifies how to handle a tie. Valid values:

• ‘high’ or None - Uses the highest winning window
• ‘mid’ - Uses the middle winning window
• ‘low’ - Uses the lowest winning window

eaarl.rcf.rcf_jury(jury, width, tie=None)

Find winning window of jury

Parameters

jury : array-like of numeric

Jury of values to search for winning window

width : numeric

Search window

tie : string or None

Specifies how to handle a tie. Valid values:

• ‘high’ or None - Uses the highest winning window
• ‘mid’ - Uses the middle winning window
• ‘low’ - Uses the lowest winning window