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Tutorial about how grid coordinates are generated (#192)
Explain the intricacies of grid_coordinates, adjusting spacing/region, pixel registration, etc. Fixes #161
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""" | ||
.. _grid_coordinates: | ||
Grid Coordinates | ||
==================== | ||
Creating the coordinates for regular grids in Verde is done using the | ||
:func:`verde.grid_coordinates` function. It creates a set of regularly spaced points in | ||
both the west-east and south-north directions, i.e. a two-dimensional spatial grid. These | ||
points are then used by the Verde gridders to interpolate between data points. As such, all | ||
`.grid` methods (like :meth:`verde.Spline.grid`) take as input the configuration parameters | ||
for :func:`verde.grid_coordinates`. The grid can be specified either by the number of points | ||
in each dimension (the shape) or by the grid node spacing. | ||
""" | ||
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import numpy as np | ||
import matplotlib.pyplot as plt | ||
import verde as vd | ||
from matplotlib.patches import Rectangle | ||
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######################################################################################## | ||
# First let's create a region that is 1000 units west-east and 1000 units south-north, | ||
# and we will set an initial spacing to 100 units. | ||
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spacing = 100 | ||
west, east, south, north = 0, 1000, 0, 1000 | ||
region = (west, east, south, north) | ||
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# create the grid coordinates | ||
easting, northing = vd.grid_coordinates(region=region, spacing=spacing) | ||
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######################################################################################## | ||
# We can check the dimensions of the grid coordinates. The region is 1000 units and the | ||
# spacing is 100 units, so the shape of the segments is 10x10. However, the number of | ||
# grid nodes in this case is one more than the number of segments. So our grid | ||
# coordinates have a shape of 11x11. | ||
print(easting.shape, northing.shape) | ||
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######################################################################################## | ||
# Let's define two functions to visualize the region bounds and grid points | ||
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def plot_region(ax, region): | ||
"Plot the region as a solid line." | ||
west, east, south, north = region | ||
ax.add_patch( | ||
plt.Rectangle((west, south), east, north, fill=None, label="Region Bounds") | ||
) | ||
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def plot_grid(ax, coordinates, linestyles="dotted", region=None, pad=50, **kwargs): | ||
"Plot the grid coordinates as dots and lines." | ||
data_region = vd.get_region(coordinates) | ||
ax.vlines( | ||
coordinates[0][0], | ||
ymin=data_region[2], | ||
ymax=data_region[3], | ||
linestyles=linestyles, | ||
zorder=0, | ||
) | ||
ax.hlines( | ||
coordinates[1][:, 1], | ||
xmin=data_region[0], | ||
xmax=data_region[1], | ||
linestyles=linestyles, | ||
zorder=0, | ||
) | ||
ax.scatter(*coordinates, **kwargs) | ||
if pad: | ||
padded = vd.pad_region(region, pad=pad) | ||
plt.xlim(padded[:2]) | ||
plt.ylim(padded[2:]) | ||
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######################################################################################## | ||
# Visualize our region and grid coordinates using our functions | ||
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plt.figure(figsize=(6, 6)) | ||
ax = plt.subplot(111) | ||
plot_region(ax=ax, region=region) | ||
plot_grid( | ||
ax=ax, | ||
coordinates=(easting, northing), | ||
region=region, | ||
label="Square Region Grid Nodes", | ||
marker=".", | ||
color="black", | ||
s=100, | ||
) | ||
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plt.xlabel("Easting") | ||
plt.ylabel("Northing") | ||
plt.legend(loc="upper center", bbox_to_anchor=(0.5, 1.15)) | ||
plt.show() | ||
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######################################################################################## | ||
# Adjusting region boundaries when creating the grid coordinates | ||
# -------------------------------------------------------------- | ||
# | ||
# Now let's change our spacing to 300 units. Because the range of the west-east and | ||
# south-north boundaries are not multiples of 300, we must choose to change either: | ||
# | ||
# - the boundaries of the region in order to fit the spacing, or | ||
# - the spacing in order to fit the region boundaries. | ||
# | ||
# We could tell :func:`verde.grid_coordinates` to adjust the region boundaries by | ||
# passing ``adjust="region"``. | ||
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spacing = 300 | ||
region_easting, region_northing = vd.grid_coordinates( | ||
region=region, spacing=spacing, adjust="region" | ||
) | ||
print(region_easting.shape, region_northing.shape) | ||
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######################################################################################## | ||
# With the spacing set at 300 units and a 4 by 4 grid of regular dimensions, | ||
# :func:`verde.grid_coordinates` calculates the spatial location of each | ||
# grid point and adjusts the region so that the maximum northing and maximum | ||
# easting values are divisible by the spacing. In this example, both the easting and | ||
# northing have 3 segments (4 nodes) that are each 300 units long, meaning the easting | ||
# and northing span from 0 to 900. Both dimensions are divisible | ||
# by 300. | ||
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print(region_easting) | ||
print(region_northing) | ||
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###################################################################################### | ||
# By default, if ``adjust`` is not assigned to ``"region"`` or ``"spacing"``, | ||
# then :func:`verde.grid_coordinates` will adjust the spacing. With the adjust | ||
# parameter set to ``spacing`` :func:`verde.grid_coordinates` creates grid nodes | ||
# in a similar manner as when it adjusts the region. However, it doesn't readjust | ||
# the region so that it is divisble by the spacing before creating the grid. | ||
# This means the grid will have the same number of grid points no matter if | ||
# the adjust parameter is set to ``region`` or ``spacing``. | ||
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######################################################################################## | ||
# Adjusting spacing when creating the grid | ||
# ---------------------------------------- | ||
# | ||
# Now let's adjust the spacing of the grid points by passing ``adjust="spacing"`` | ||
# to :func:`verde.grid_coordinates`. | ||
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spacing_easting, spacing_northing = vd.grid_coordinates( | ||
region=region, spacing=spacing, adjust="spacing" | ||
) | ||
print(spacing_easting.shape, spacing_northing.shape) | ||
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###################################################################################### | ||
# However the regular spacing between the grid points is no longer 300 units. | ||
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print(spacing_easting) | ||
print(spacing_northing) | ||
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###################################################################################### | ||
# Visualize the different adjustments | ||
# ----------------------------------- | ||
# | ||
# Let's visualize the difference between the original region bounds, the | ||
# adjusted region grid nodes, and the adjusted spacing grid nodes. Note the | ||
# adjusted spacing grid nodes keep the original region, while the adjusted | ||
# region grid nodes on the north and east side of the region have moved. | ||
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plt.figure(figsize=(6, 6)) | ||
ax = plt.subplot(111) | ||
plot_region(ax=ax, region=region) | ||
plot_grid( | ||
ax=ax, | ||
coordinates=(region_easting, region_northing), | ||
region=region, | ||
label="Adjusted Region Grid Nodes", | ||
marker=">", | ||
color="blue", | ||
alpha=0.75, | ||
s=100, | ||
) | ||
plot_grid( | ||
ax=ax, | ||
coordinates=(spacing_easting, spacing_northing), | ||
region=region, | ||
label="Adjusted Spacing Grid Nodes", | ||
marker=">", | ||
color="orange", | ||
alpha=0.75, | ||
s=100, | ||
) | ||
plt.xlabel("Easting") | ||
plt.ylabel("Northing") | ||
plt.legend(loc="upper center", bbox_to_anchor=(0.5, 1.18)) | ||
plt.show() | ||
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###################################################################################### | ||
# Pixel Registration | ||
# ------------------ | ||
# | ||
# Pixel registration locates the grid points in the middle of the grid segments | ||
# rather than in the corner of each grid node. | ||
# | ||
# First, let's take our 1000x1000 region and use the 100 unit spacing from the first | ||
# example and set the ``pixel_register`` parameter to ``True``. Without pixel | ||
# registration our grid should have dimensions of 11x11. With pixel registration we | ||
# expect the dimensions of the grid to be the dimensions of the non-registered grid | ||
# minus one, or equal to the number of segments between the grid points in the | ||
# non-registered grid (10x10). | ||
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spacing = 100 | ||
pixel_easting, pixel_northing = vd.grid_coordinates( | ||
region=region, spacing=spacing, pixel_register=True | ||
) | ||
print(pixel_easting.shape, pixel_northing.shape) | ||
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###################################################################################### | ||
# And we can check the coordinates for the grid points with pixel registration. | ||
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print(pixel_easting) | ||
print(pixel_northing) | ||
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###################################################################################### | ||
# If we set ``pixel_register`` to ``False`` the function will return the grid | ||
# coordinates of the nodes instead of pixel centers, resulting in an extra point in each direction. | ||
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easting, northing = vd.grid_coordinates( | ||
region=region, spacing=spacing, pixel_register=False | ||
) | ||
print(easting.shape, northing.shape) | ||
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###################################################################################### | ||
# Again we can check the coordinates for grid points with spacing adjustment. | ||
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print(easting) | ||
print(northing) | ||
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###################################################################################### | ||
# Lastly, we can visualize the pixel-registered grid points to see where they fall | ||
# within the original region bounds. | ||
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plt.figure(figsize=(6, 6)) | ||
ax = plt.subplot(111) | ||
plot_region(ax=ax, region=region) | ||
plot_grid( | ||
ax=ax, | ||
coordinates=(pixel_easting, pixel_northing), | ||
region=region, | ||
label="Pixel Registered Grid Nodes", | ||
marker=">", | ||
color="blue", | ||
alpha=0.75, | ||
s=100, | ||
) | ||
plot_grid( | ||
ax=ax, | ||
coordinates=(easting, northing), | ||
region=region, | ||
label="Regular Registered Grid Nodes", | ||
marker=">", | ||
color="orange", | ||
alpha=0.75, | ||
s=100, | ||
) | ||
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plt.xlabel("Easting") | ||
plt.ylabel("Northing") | ||
plt.legend(loc="upper center", bbox_to_anchor=(0.5, 1.18)) | ||
plt.show() | ||
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###################################################################################### | ||
# Extra Coordinates | ||
# ----------------- | ||
# | ||
# In some cases, you might need an additional coordinate such as a height or a time | ||
# that is associated with your coordinate grid. The ``extra_coords`` parameter | ||
# in :func:`verde.grid_coordinates` creates an extra coordinate array that is the same | ||
# shape as the coordinate grid, but contains a constant value. For example, let's | ||
# add a constant height of 1000 units and time of 1 to our coordinate grid. | ||
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easting, northing, height, time = vd.grid_coordinates( | ||
region=region, spacing=spacing, extra_coords=[1000, 1] | ||
) | ||
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print(easting.shape, northing.shape, height.shape, time.shape) | ||
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######################################################################################## | ||
# And we can print the height array to verify that it is correct | ||
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print(height) | ||
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######################################################################################## | ||
# And we can print the time array as well | ||
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print(time) |