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Add load_earth_free_air_anomaly function for Earth free-air anomaly dataset #2238

Merged
merged 11 commits into from
Dec 15, 2022
1 change: 1 addition & 0 deletions doc/api/index.rst
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Expand Up @@ -222,6 +222,7 @@ and store them in GMT's user data directory.

datasets.list_sample_data
datasets.load_earth_age
datasets.load_earth_free_air_anomaly
datasets.load_earth_geoid
datasets.load_earth_magnetic_anomaly
datasets.load_earth_relief
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1 change: 1 addition & 0 deletions pygmt/datasets/__init__.py
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Expand Up @@ -3,6 +3,7 @@
# Load sample data included with GMT (downloaded from the GMT cache server).

from pygmt.datasets.earth_age import load_earth_age
from pygmt.datasets.earth_free_air_anomaly import load_earth_free_air_anomaly
from pygmt.datasets.earth_geoid import load_earth_geoid
from pygmt.datasets.earth_magnetic_anomaly import load_earth_magnetic_anomaly
from pygmt.datasets.earth_relief import load_earth_relief
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69 changes: 69 additions & 0 deletions pygmt/datasets/earth_free_air_anomaly.py
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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


@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-minute (i.e., ``"05m"``).
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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.
"""
dataset_prefix = "earth_faa_"
grid = _load_remote_dataset(
dataset_name="earth_free_air_anomaly",
dataset_prefix=dataset_prefix,
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resolution=resolution,
region=region,
registration=registration,
)
return grid
20 changes: 20 additions & 0 deletions pygmt/datasets/load_remote_dataset.py
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Expand Up @@ -147,6 +147,26 @@ class GMTRemoteDataset(NamedTuple):
"02m": Resolution(["pixel"], True),
},
),
"earth_free_air_anomaly": GMTRemoteDataset(
title="free air anomaly",
name="free_air_anomaly",
long_name="IGPP Global Earth Free-Air Anomaly",
units="mGal",
extra_attributes={"horizontal_datum": "WGS84"},
resolutions={
"01d": Resolution(["pixel", "gridline"], False),
"30m": Resolution(["pixel", "gridline"], False),
"20m": Resolution(["pixel", "gridline"], False),
"15m": Resolution(["pixel", "gridline"], False),
"10m": Resolution(["pixel", "gridline"], False),
"06m": Resolution(["pixel", "gridline"], False),
"05m": Resolution(["pixel", "gridline"], True),
"04m": Resolution(["pixel", "gridline"], True),
"03m": Resolution(["pixel", "gridline"], True),
"02m": Resolution(["pixel", "gridline"], True),
"01m": Resolution(["pixel"], True),
},
),
}


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3 changes: 3 additions & 0 deletions pygmt/helpers/testing.py
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Expand Up @@ -186,6 +186,9 @@ def download_test_data():
# Earth magnetic anomaly grids
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"@earth_mag_01d_g.grd",
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"@S90W180.earth_mag_05m_g.nc", # Specific grid for 05m test
# Earth free-air anomaly grids
"@earth_faa_01d_g.grd",
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"@S90W180.earth_faa_05m_g.nc", # Specific grid for 05m test
# Other cache files
"@capitals.gmt",
"@earth_relief_20m_holes.grd",
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82 changes: 82 additions & 0 deletions pygmt/tests/test_datasets_earth_free_air_anomaly.py
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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


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)


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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These tests are common to all Earth datasets. Perhaps we can move all these tests in a new test file like test_datasets_load_remote_dataset.py instead.

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This can be done in a separate PR if necessary.


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)


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)


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)


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")