xrspatial.terrain.generate_terrain#
- xrspatial.terrain.generate_terrain(agg: xarray.core.dataarray.DataArray, x_range: tuple = (0, 500), y_range: tuple = (0, 500), seed: int = 10, zfactor: int = 4000, full_extent: Optional[Union[Tuple, List]] = None, name: str = 'terrain') xarray.core.dataarray.DataArray[source]#
Generates a pseudo-random terrain which can be helpful for testing raster functions.
- Parameters
x_range (tuple, default=(0, 500)) – Range of x values.
x_range – Range of y values.
seed (int, default=10) – Seed for random number generator.
zfactor (int, default=4000) – Multipler for z values.
full_extent (str, default=None) – bbox<xmin, ymin, xmax, ymax>. Full extent of coordinate system.
- Returns
terrain – 2D array of generated terrain values.
- Return type
xr.DataArray
References
Michael McHugh: https://www.youtube.com/watch?v=O33YV4ooHSo
Red Blob Games: https://www.redblobgames.com/maps/terrain-from-noise/
Examples
>>> import numpy as np >>> import xarray as xr >>> from xrspatial import generate_terrain
>>> W = 400 >>> H = 300 >>> data = np.zeros((H, W), dtype=np.float32) >>> raster = xr.DataArray(data, dims=['y', 'x']) >>> xrange = (-20e6, 20e6) >>> yrange = (-20e6, 20e6) >>> seed = 2 >>> zfactor = 10
>>> terrain = generate_terrain(raster, xrange, yrange, seed, zfactor) >>> terrain.plot.imshow()
