

.. _sphx_glr_gallery_specialty_plots_topographic_hillshading.py:


=======================
Topographic hillshading
=======================

Demonstrates the visual effect of varying blend mode and vertical exaggeration
on "hillshaded" plots.

Note that the "overlay" and "soft" blend modes work well for complex surfaces
such as this example, while the default "hsv" blend mode works best for smooth
surfaces such as many mathematical functions.

In most cases, hillshading is used purely for visual purposes, and *dx*/*dy*
can be safely ignored. In that case, you can tweak *vert_exag* (vertical
exaggeration) by trial and error to give the desired visual effect. However,
this example demonstrates how to use the *dx* and *dy* kwargs to ensure that
the *vert_exag* parameter is the true vertical exaggeration.




.. image:: /gallery/specialty_plots/images/sphx_glr_topographic_hillshading_001.png
    :align: center





.. code-block:: python

    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.cbook import get_sample_data
    from matplotlib.colors import LightSource


    with np.load(get_sample_data('jacksboro_fault_dem.npz')) as dem:
        z = dem['elevation']

        #-- Optional dx and dy for accurate vertical exaggeration ----------------
        # If you need topographically accurate vertical exaggeration, or you don't
        # want to guess at what *vert_exag* should be, you'll need to specify the
        # cellsize of the grid (i.e. the *dx* and *dy* parameters).  Otherwise, any
        # *vert_exag* value you specify will be relative to the grid spacing of
        # your input data (in other words, *dx* and *dy* default to 1.0, and
        # *vert_exag* is calculated relative to those parameters).  Similarly, *dx*
        # and *dy* are assumed to be in the same units as your input z-values.
        # Therefore, we'll need to convert the given dx and dy from decimal degrees
        # to meters.
        dx, dy = dem['dx'], dem['dy']
        dy = 111200 * dy
        dx = 111200 * dx * np.cos(np.radians(dem['ymin']))
        #-------------------------------------------------------------------------

    # Shade from the northwest, with the sun 45 degrees from horizontal
    ls = LightSource(azdeg=315, altdeg=45)
    cmap = plt.cm.gist_earth

    fig, axes = plt.subplots(nrows=4, ncols=3, figsize=(8, 9))
    plt.setp(axes.flat, xticks=[], yticks=[])

    # Vary vertical exaggeration and blend mode and plot all combinations
    for col, ve in zip(axes.T, [0.1, 1, 10]):
        # Show the hillshade intensity image in the first row
        col[0].imshow(ls.hillshade(z, vert_exag=ve, dx=dx, dy=dy), cmap='gray')

        # Place hillshaded plots with different blend modes in the rest of the rows
        for ax, mode in zip(col[1:], ['hsv', 'overlay', 'soft']):
            rgb = ls.shade(z, cmap=cmap, blend_mode=mode,
                           vert_exag=ve, dx=dx, dy=dy)
            ax.imshow(rgb)

    # Label rows and columns
    for ax, ve in zip(axes[0], [0.1, 1, 10]):
        ax.set_title('{0}'.format(ve), size=18)
    for ax, mode in zip(axes[:, 0], ['Hillshade', 'hsv', 'overlay', 'soft']):
        ax.set_ylabel(mode, size=18)

    # Group labels...
    axes[0, 1].annotate('Vertical Exaggeration', (0.5, 1), xytext=(0, 30),
                        textcoords='offset points', xycoords='axes fraction',
                        ha='center', va='bottom', size=20)
    axes[2, 0].annotate('Blend Mode', (0, 0.5), xytext=(-30, 0),
                        textcoords='offset points', xycoords='axes fraction',
                        ha='right', va='center', size=20, rotation=90)
    fig.subplots_adjust(bottom=0.05, right=0.95)

    plt.show()

**Total running time of the script:** ( 0 minutes  1.428 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: topographic_hillshading.py <topographic_hillshading.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: topographic_hillshading.ipynb <topographic_hillshading.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
