xrspatial.perlin.perlin

xrspatial.perlin.perlin(agg: xarray.core.dataarray.DataArray, freq: tuple = (1, 1), seed: int = 5, name: str = 'perlin') → xarray.core.dataarray.DataArray

Generate perlin noise aggregate.

Parameters

• agg (xr.DataArray) – 2D array of size width x height, will be used to determine height/ width and which platform to use for calculation.

• freq (tuple, default=(1,1)) – (x, y) frequency multipliers.

• seed (int, default=5) – Seed for random number generator.

Returns

perlin_agg – 2D array of perlin noise values.

Return type

xarray.DataArray

References

• Paul Panzer: https://stackoverflow.com/questions/42147776/producing-2d-perlin-noise-with-numpy # noqa

• ICA: http://www.mountaincartography.org/mt_hood/pdfs/nighbert_bump1.pdf # noqa

Examples

import numpy as np
import xarray as xr
from xrspatial import perlin

W = 4
H = 3
data = np.zeros((H, W), dtype=np.float32)
raster = xr.DataArray(data, dims=['y', 'x'])

perlin_noise = perlin(raster)

>>> print(perlin_noise)
<xarray.DataArray 'perlin' (y: 3, x: 4)>
array([[0.39268944, 0.27577767, 0.01621884, 0.05518942],
       [1.        , 0.8229485 , 0.2935367 , 0.        ],
       [1.        , 0.8715414 , 0.41902685, 0.02916668]], dtype=float32)  # noqa
Dimensions without coordinates: y, x

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