xrspatial.curvature.curvature

xrspatial.curvature.curvature(agg: xarray.core.dataarray.DataArray, name: Optional[str] = 'curvature') → xarray.core.dataarray.DataArray

Calculates, for all cells in the array, the curvature (second derivative) of each cell based on the elevation of its neighbors in a 3x3 grid. A positive curvature indicates the surface is upwardly convex. A negative value indicates it is upwardly concave. A value of 0 indicates a flat surface.

Units of the curvature output raster are one hundredth (1/100) of a z-unit.

agg: xarray.DataArray

2D array of elevation values NumPy, CuPy, NumPy-backed Dask, or Cupy-backed Dask array. Must contain “res” attribute.

name: str (default = “curvature”)

Name of output DataArray.

curvature: xarray.DataArray

2D array, of the same type as the input, of calculated curvature values All other input attributes are preserved.

Algorithm References: - esri, How Curvature works, https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/how-curvature-works.htm, Accessed Apr. 21, 2021. # noqa

Imports >>> import numpy as np >>> import xarray as xr >>> from xrspatial import curvature

Create Initial DataArray

>>> agg = xr.DataArray(np.array([[0, 1, 0, 0],
>>>                              [1, 1, 0, 0],
>>>                              [0, 1, 2, 2],
>>>                              [1, 0, 2, 0],
>>>                              [0, 2, 2, 2]]),
>>>                    dims = ["lat", "lon"],
>>>                    attrs = dict(res = 1))
>>> height, width = agg.shape
>>> _lon = np.linspace(0, width - 1, width)
>>> _lat = np.linspace(0, height - 1, height)
>>> agg["lon"] = _lon
>>> agg["lat"] = _lat
>>> print(agg)
<xarray.DataArray (lat: 5, lon: 4)>
array([[0, 1, 0, 0],
       [1, 1, 0, 0],
       [0, 1, 2, 2],
       [1, 0, 2, 0],
       [0, 2, 2, 2]])
Coordinates:
  * lon      (lon) float64 0.0 1.0 2.0 3.0
  * lat      (lat) float64 0.0 1.0 2.0 3.0 4.0
.. attribute:: res

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Create Curvature DataArray >>> print(curvature(agg)) <xarray.DataArray ‘curvature’ (lat: 5, lon: 4)> array([[ nan, nan, nan, nan],

[ nan, 100., -300., nan], [ nan, 100., 300., nan], [ nan, -600., 400., nan], [ nan, nan, nan, nan]])

Coordinates:

• lon (lon) float64 0.0 1.0 2.0 3.0

• lat (lat) float64 0.0 1.0 2.0 3.0 4.0

xrspatial.curvature.res

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xrspatial.aspect.aspect xrspatial.hillshade.hillshade