ee.Kernel.manhattan

Generates a distance kernel based on rectilinear (city-block) distance.

UsageReturns
ee.Kernel.manhattan(radius, units, normalize, magnitude)Kernel
ArgumentTypeDetails
radiusFloat

The radius of the kernel to generate.

unitsString, default: "pixels"

The system of measurement for the kernel ('pixels' or 'meters'). If the kernel is specified in meters, it will resize when the zoom-level is changed.

normalizeBoolean, default: false

Normalize the kernel values to sum to 1.

magnitudeFloat, default: 1

Scale each value by this amount.

Examples

Code Editor (JavaScript)

print('A Manhattan kernel', ee.Kernel.manhattan({radius: 3}));

/**
 * Output weights matrix
 *
 * [6, 5, 4, 3, 4, 5, 6]
 * [5, 4, 3, 2, 3, 4, 5]
 * [4, 3, 2, 1, 2, 3, 4]
 * [3, 2, 1, 0, 1, 2, 3]
 * [4, 3, 2, 1, 2, 3, 4]
 * [5, 4, 3, 2, 3, 4, 5]
 * [6, 5, 4, 3, 4, 5, 6]
 */