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Add load_mercury_relief to load Mercury relief dataset in various re…
…solutions and registrations (#3028) Co-authored-by: Wei Ji <23487320+weiji14@users.noreply.github.com>
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""" | ||
Function to download the Mercury relief dataset from the GMT data server, and load as | ||
:class:`xarray.DataArray`. | ||
The grids are available in various resolutions. | ||
""" | ||
from typing import Literal | ||
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from pygmt.datasets.load_remote_dataset import _load_remote_dataset | ||
from pygmt.helpers import kwargs_to_strings | ||
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__doctest_skip__ = ["load_mercury_relief"] | ||
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@kwargs_to_strings(region="sequence") | ||
def load_mercury_relief( | ||
resolution="01d", | ||
region=None, | ||
registration: Literal["gridline", "pixel", None] = None, | ||
): | ||
r""" | ||
Load the Mercury relief dataset in various resolutions. | ||
.. figure:: https://www.generic-mapping-tools.org/remote-datasets/_images/GMT_mercury_relief.jpg | ||
:width: 80% | ||
:align: center | ||
Mercury relief dataset. | ||
The grids are downloaded to a user data directory (usually | ||
``~/.gmt/server/mercury/mercury_relief/``) the first time you invoke this function. | ||
Afterwards, it will load the grid from the data directory. So you'll need an | ||
internet connection the first time around. | ||
These grids can also be accessed by passing in the file name | ||
**@mercury_relief**\_\ *res*\[_\ *reg*] to any grid processing function or plotting | ||
method. *res* is the grid resolution (see below), and *reg* is the grid registration | ||
type (**p** for pixel registration or **g** for gridline registration). | ||
The default color palette table (CPT) for this dataset is *@mercury_relief.cpt*. | ||
It's implicitly used when passing in the file name of the dataset to any grid | ||
plotting method if no CPT is explicitly specified. When the dataset is loaded and | ||
plotted as an :class:`xarray.DataArray` object, the default CPT is ignored, and | ||
GMT's default CPT (*turbo*) is used. To use the dataset-specific CPT, you need to | ||
explicitly set ``cmap="@mercury_relief.cpt"``. | ||
Refer to :gmt-datasets:`mercury-relief.html` for more details about available | ||
datasets, including version information and references. | ||
Parameters | ||
---------- | ||
resolution : str | ||
The grid resolution. The suffix ``d``, ``m`` and ``s`` stand for arc-degrees, | ||
arc-minutes and arc-seconds. It can be ``"01d"``, ``"30m"``, ``"20m"``, | ||
``"15m"``, ``"10m"``, ``"06m"``, ``"05m"``, ``"04m"``, ``"03m"``, ``"02m"``, | ||
``"01m"``, and ``"56s"``. | ||
region : str or list | ||
The subregion of the grid to load, in the form of a list | ||
[*xmin*, *xmax*, *ymin*, *ymax*] or a string *xmin/xmax/ymin/ymax*. Required for | ||
grids with resolutions higher than 5 arc-minutes (i.e., ``"05m"``). | ||
registration | ||
Grid registration type. Either ``"pixel"`` for pixel registration or | ||
``"gridline"`` for gridline registration. Default is ``None``, means | ||
``"gridline"`` for all resolutions except for ``"56s"`` which is ``"pixel"`` | ||
only. | ||
Returns | ||
------- | ||
grid : :class:`xarray.DataArray` | ||
The Mercury relief grid. Coordinates are latitude and longitude in degrees. | ||
Relief is in meters. | ||
Note | ||
---- | ||
The registration and coordinate system type of the returned | ||
:class:`xarray.DataArray` grid can be accessed via the GMT accessors (i.e., | ||
``grid.gmt.registration`` and ``grid.gmt.gtype`` respectively). However, these | ||
properties may be lost after specific grid operations (such as slicing) and will | ||
need to be manually set before passing the grid to any PyGMT data processing or | ||
plotting functions. Refer to :class:`pygmt.GMTDataArrayAccessor` for detailed | ||
explanations and workarounds. | ||
Examples | ||
-------- | ||
>>> from pygmt.datasets import load_mercury_relief | ||
>>> # load the default grid (gridline-registered 1 arc-degree grid) | ||
>>> grid = load_mercury_relief() | ||
>>> # load the 30 arc-minutes grid with "gridline" registration | ||
>>> grid = load_mercury_relief(resolution="30m", registration="gridline") | ||
>>> # load high-resolution (5 arc-minutes) grid for a specific region | ||
>>> grid = load_mercury_relief( | ||
... resolution="05m", | ||
... region=[120, 160, 30, 60], | ||
... registration="gridline", | ||
... ) | ||
""" | ||
grid = _load_remote_dataset( | ||
dataset_name="mercury_relief", | ||
dataset_prefix="mercury_relief_", | ||
resolution=resolution, | ||
region=region, | ||
registration=registration, | ||
) | ||
return grid |
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""" | ||
Test basic functionality for loading Mercury relief datasets. | ||
""" | ||
import numpy as np | ||
import numpy.testing as npt | ||
from pygmt.datasets import load_mercury_relief | ||
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def test_mercury_relief_01d(): | ||
""" | ||
Test some properties of the Mercury relief 01d data. | ||
""" | ||
data = load_mercury_relief(resolution="01d") | ||
assert data.name == "mercury_relief" | ||
assert data.attrs["units"] == "meters" | ||
assert data.attrs["long_name"] == "USGS Mercury relief" | ||
assert data.shape == (181, 361) | ||
assert data.gmt.registration == 0 | ||
npt.assert_allclose(data.lat, np.arange(-90, 91, 1)) | ||
npt.assert_allclose(data.lon, np.arange(-180, 181, 1)) | ||
npt.assert_allclose(data.min(), -5103.5, atol=0.5) | ||
npt.assert_allclose(data.max(), 3416.0, atol=0.5) | ||
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def test_mercury_relief_01d_with_region(): | ||
""" | ||
Test loading low-resolution Mercury relief with 'region'. | ||
""" | ||
data = load_mercury_relief(resolution="01d", region=[-10, 10, -5, 5]) | ||
assert data.shape == (11, 21) | ||
assert data.gmt.registration == 0 | ||
npt.assert_allclose(data.lat, np.arange(-5, 6, 1)) | ||
npt.assert_allclose(data.lon, np.arange(-10, 11, 1)) | ||
npt.assert_allclose(data.min(), -327.0, atol=0.5) | ||
npt.assert_allclose(data.max(), 3027.5, atol=0.5) | ||
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def test_mercury_relief_01m_default_registration(): | ||
""" | ||
Test that the grid returned by default for the 1 arc-minute resolution has | ||
a "gridline" registration. | ||
""" | ||
data = load_mercury_relief(resolution="01m", region=[-10, -9, 3, 5]) | ||
assert data.shape == (121, 61) | ||
assert data.gmt.registration == 0 | ||
assert data.coords["lat"].data.min() == 3.0 | ||
assert data.coords["lat"].data.max() == 5.0 | ||
assert data.coords["lon"].data.min() == -10.0 | ||
assert data.coords["lon"].data.max() == -9.0 | ||
npt.assert_allclose(data.min(), 1953.0, atol=0.5) | ||
npt.assert_allclose(data.max(), 3721.0, atol=0.5) |