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Add load_earth_vertical_gravity_gradient function for Earth vertical gravity gradient dataset #2240

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1 change: 1 addition & 0 deletions doc/api/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -225,6 +225,7 @@ and store them in GMT's user data directory.
datasets.load_earth_geoid
datasets.load_earth_magnetic_anomaly
datasets.load_earth_relief
datasets.load_earth_vgg
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Is earth_vgg a good name? Perhaps we should use earth_vertical_gravity_gradient instead?

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I debated that, but my decision to use earth_vgg was that earth_vertical_gravity_gradient is super long to type out. My thought is that earth_vgg is unique enough as to not be confusing.

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earth_vertical_gravity_gradient is super long to type out.

Yes, but we have autocompletion so a long name is still easy to type.

My thought is that earth_vgg is unique enough as to not be confusing.

earth_vgg is unique, but it doesn't tell users what the dataset is.

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Changed to load_earth_vertical_gravity_gradient

datasets.load_sample_data

The following functions are deprecated since v0.6.0 and will be removed in v0.9.0.
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1 change: 1 addition & 0 deletions pygmt/datasets/__init__.py
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Expand Up @@ -6,6 +6,7 @@
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
from pygmt.datasets.earth_vertical_gravity_gradient import load_earth_vgg
from pygmt.datasets.samples import (
list_sample_data,
load_fractures_compilation,
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69 changes: 69 additions & 0 deletions pygmt/datasets/earth_vertical_gravity_gradient.py
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@@ -0,0 +1,69 @@
"""
Function to download the IGPP Global Earth Vertical Gravity Gradient 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_vgg(resolution="01d", region=None, registration=None):
r"""
Load the IGPP Global Earth Vertical Gravity Gradient in various
resolutions.

The grids are downloaded to a user data directory
(usually ``~/.gmt/server/earth/earth_vgg/``) 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_vgg**\_\ *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-vgg.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"``,
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``"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
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[*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 vertical gravity gradient grid. Coordinates are latitude and
longitude in degrees. Units are in Eotvos.

Note
----
The :class:`xarray.DataArray` grid doesn't support slice operation, for
Earth vertical gravity gradient grids with resolutions of 5 arc-minutes or
higher, which are stored as smaller tiles.
"""
grid = _load_remote_dataset(
dataset_name="earth_vgg",
dataset_prefix="earth_vgg_",
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_vgg": GMTRemoteDataset(
title="Earth vertical gravity gradient",
name="earth_vgg",
long_name="IGPP Global Earth Vertical Gravity Gradient",
units="Eotvos",
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(["gridline"], True),
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},
),
}


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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
"@earth_mag_01d_g.grd",
"@S90W180.earth_mag_05m_g.nc", # Specific grid for 05m test
# Earth vertical gravity gradient grids
"@earth_vgg_01d_g.grd",
"@S90W180.earth_vgg_05m_g.nc", # Specific grid for 05m test
# Other cache files
"@capitals.gmt",
"@earth_relief_20m_holes.grd",
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92 changes: 92 additions & 0 deletions pygmt/tests/test_datasets_earth_vertical_gravity_gradient.py
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@@ -0,0 +1,92 @@
"""
Test basic functionality for loading Earth vertical gravity gradient datasets.
"""
import numpy as np
import numpy.testing as npt
import pytest
from pygmt.datasets import load_earth_vgg
from pygmt.exceptions import GMTInvalidInput


def test_earth_vgg_fails():
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"""
Make sure load_earth_vgg 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_vgg(resolution=resolution)


def test_earth_vgg_incorrect_registration():
"""
Test loading load_earth_vgg with incorrect registration type.
"""
with pytest.raises(GMTInvalidInput):
load_earth_vgg(registration="improper_type")


def test_earth_vgg_01d():
"""
Test some properties of the earth vgg 01d data.
"""
data = load_earth_vgg(resolution="01d", registration="gridline")
assert data.name == "earth_vgg"
assert data.attrs["units"] == "Eotvos"
assert data.attrs["long_name"] == "IGPP Global Earth Vertical Gravity Gradient"
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(), -136.34375)
npt.assert_allclose(data.max(), 104.59375)
assert data[1, 1].isnull()


def test_earth_vgg_01d_with_region():
"""
Test loading low-resolution earth vgg with 'region'.
"""
data = load_earth_vgg(
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(), -16.34375)
npt.assert_allclose(data.max(), 19.78125)


def test_earth_vgg_05m_with_region():
"""
Test loading a subregion of high-resolution earth vgg.
"""
data = load_earth_vgg(
resolution="05m", region=[-50, -40, 20, 26], registration="gridline"
)
assert data.coords["lat"].data.min() == 20.0
assert data.coords["lat"].data.max() == 26.0
assert data.coords["lon"].data.min() == -50.0
assert data.coords["lon"].data.max() == -40.0
npt.assert_allclose(data.min(), -107.625)
npt.assert_allclose(data.max(), 159.75)
assert data.sizes["lat"] == 73
assert data.sizes["lon"] == 121


def test_earth_vgg_05m_without_region():
"""
Test loading high-resolution earth vgg without passing 'region'.
"""
with pytest.raises(GMTInvalidInput):
load_earth_vgg("05m")


def test_earth_vgg_incorrect_resolution_registration():
"""
Test that an error is raised when trying to load a grid registration with
an unavailable resolution.
"""
with pytest.raises(GMTInvalidInput):
load_earth_vgg(resolution="01m", region=[0, 1, 3, 5], registration="pixel")