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Add load_earth_free_air_anomaly function for Earth free-air anomaly d…
…ataset (#2238) * Add earth_free_air_anomaly.py * Add load_earth_free_air_anomaly to API index * Add tests and cache files for load_earth_free_air_anomaly Co-authored-by: Dongdong Tian <[email protected]> Co-authored-by: Michael Grund <[email protected]>
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""" | ||
Function to download the IGPP Global Earth Free-Air Anomaly datasets from the | ||
GMT data server, and load as :class:`xarray.DataArray`. | ||
The grids are available in various resolutions. | ||
""" | ||
from pygmt.datasets.load_remote_dataset import _load_remote_dataset | ||
from pygmt.helpers import kwargs_to_strings | ||
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@kwargs_to_strings(region="sequence") | ||
def load_earth_free_air_anomaly(resolution="01d", region=None, registration=None): | ||
r""" | ||
Load an Earth Free-Air Anomaly grid in various resolutions. | ||
The grids are downloaded to a user data directory | ||
(usually ``~/.gmt/server/earth/earth_faa/``) 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 | ||
**@earth_faa**\_\ *res*\[_\ *reg*] to any grid plotting/processing | ||
function. *res* is the grid resolution (see below), and *reg* is grid | ||
registration type (**p** for pixel registration or **g** for gridline | ||
registration). | ||
Refer to :gmt-datasets:`earth-faa.html` for more details. | ||
Parameters | ||
---------- | ||
resolution : str | ||
The grid resolution. The suffix ``d`` and ``m`` stand for | ||
arc-degree and arc-minute. It can be ``"01d"``, ``"30m"``, | ||
``"20m"``, ``"15m"``, ``"10m"``, ``"06m"``, ``"05m"``, ``"04m"``, | ||
``"03m"``, ``"02m"``, or ``"01m"``. | ||
region : str or list | ||
The subregion of the grid to load, in the forms 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 : str | ||
Grid registration type. Either ``"pixel"`` for pixel registration or | ||
``"gridline"`` for gridline registration. Default is ``None``, where | ||
a pixel-registered grid is returned unless only the | ||
gridline-registered grid is available. | ||
Returns | ||
------- | ||
grid : :class:`xarray.DataArray` | ||
The Earth free-air anomaly grid. Coordinates are latitude and | ||
longitude in degrees. Units are in mGal. | ||
Note | ||
---- | ||
The :class:`xarray.DataArray` grid doesn't support slice operation, for | ||
Earth free-air anomaly with resolutions of 5 arc-minutes or higher, | ||
which are stored as smaller tiles. | ||
""" | ||
grid = _load_remote_dataset( | ||
dataset_name="earth_free_air_anomaly", | ||
dataset_prefix="earth_faa_", | ||
resolution=resolution, | ||
region=region, | ||
registration=registration, | ||
) | ||
return grid |
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""" | ||
Test basic functionality for loading Earth free air anomaly datasets. | ||
""" | ||
import numpy as np | ||
import numpy.testing as npt | ||
import pytest | ||
from pygmt.datasets import load_earth_free_air_anomaly | ||
from pygmt.exceptions import GMTInvalidInput | ||
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def test_earth_faa_fails(): | ||
""" | ||
Make sure earth_free_air_anomaly fails for invalid resolutions. | ||
""" | ||
resolutions = "1m 1d bla 60d 001m 03".split() | ||
resolutions.append(60) | ||
for resolution in resolutions: | ||
with pytest.raises(GMTInvalidInput): | ||
load_earth_free_air_anomaly(resolution=resolution) | ||
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def test_earth_faa_incorrect_registration(): | ||
""" | ||
Test loading earth_free_air_anomaly with incorrect registration type. | ||
""" | ||
with pytest.raises(GMTInvalidInput): | ||
load_earth_free_air_anomaly(registration="improper_type") | ||
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def test_earth_faa_01d(): | ||
""" | ||
Test some properties of the free air anomaly 01d data. | ||
""" | ||
data = load_earth_free_air_anomaly(resolution="01d", registration="gridline") | ||
assert data.name == "free_air_anomaly" | ||
assert data.attrs["long_name"] == "IGPP Global Earth Free-Air Anomaly" | ||
assert data.attrs["units"] == "mGal" | ||
assert data.attrs["horizontal_datum"] == "WGS84" | ||
assert data.shape == (181, 361) | ||
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(), -275.75) | ||
npt.assert_allclose(data.max(), 308.375) | ||
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def test_earth_faa_01d_with_region(): | ||
""" | ||
Test loading low-resolution earth free air anomaly with 'region'. | ||
""" | ||
data = load_earth_free_air_anomaly( | ||
resolution="01d", region=[-10, 10, -5, 5], registration="gridline" | ||
) | ||
assert data.shape == (11, 21) | ||
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(), -58.75) | ||
npt.assert_allclose(data.max(), 69.524994) | ||
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def test_earth_faa_05m_with_region(): | ||
""" | ||
Test loading a subregion of high-resolution earth free air anomaly data. | ||
""" | ||
data = load_earth_free_air_anomaly( | ||
resolution="05m", region=[-115, -112, 4, 6], registration="gridline" | ||
) | ||
assert data.shape == (25, 37) | ||
assert data.lat.min() == 4 | ||
assert data.lat.max() == 6 | ||
assert data.lon.min() == -115 | ||
assert data.lon.max() == -112 | ||
npt.assert_allclose(data.min(), -20.5) | ||
npt.assert_allclose(data.max(), -3.9500122) | ||
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def test_earth_faa_05m_without_region(): | ||
""" | ||
Test loading high-resolution earth free air anomaly without passing | ||
'region'. | ||
""" | ||
with pytest.raises(GMTInvalidInput): | ||
load_earth_free_air_anomaly("05m") |