Add load_earth_magnetic_anomaly function for Earth magnetic anomaly dataset

doc/api/index.rst

@@ -222,6 +222,7 @@ and store them in the GMT cache folder.
 
     datasets.list_sample_data
     datasets.load_earth_age
+    datasets.load_earth_magnetic_anomaly
     datasets.load_earth_relief
     datasets.load_sample_data
     datasets.load_fractures_compilation

pygmt/datasets/__init__.py

@@ -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_magnetic_anomaly import load_earth_magnetic_anomaly
 from pygmt.datasets.earth_relief import load_earth_relief
 from pygmt.datasets.samples import (
     list_sample_data,

pygmt/datasets/earth_magnetic_anomaly.py

@@ -0,0 +1,74 @@
+"""
+Function to download the Earth magnetic 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_magnetic_anomaly(resolution="01d", region=None, registration=None):
+    r"""
+    Load an Earth magnetic anomaly grid in various resolutions.
+
+    The grids are downloaded to a user data directory
+    (usually ``~/.gmt/server/earth/earth_mag/``) 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_mag**\_\ *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-mag.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"``, or ``"02m"``.
+
+    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"``).
+
+    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 magnetic anomaly grid. Coordinates are latitude and
+        longitude in degrees. Units are in nano Teslas (nT).
+
+    Note
+    ----
+    The :class:`xarray.DataArray` grid doesn't support slice operation, for
+    Earth magnetic anomaly with resolutions of 5 arc-minutes or higher,
+    which are stored as smaller tiles.
+    """
+
+    # Choose earth magnetic anomaly data prefix
+    dataset_prefix = "earth_mag_"
+
+    dataset_name = "earth_magnetic_anomaly"
+
+    grid = _load_remote_dataset(
+        dataset_name=dataset_name,
+        dataset_prefix=dataset_prefix,
+        resolution=resolution,
+        region=region,
+        registration=registration,
+    )
+    return grid

pygmt/datasets/load_remote_dataset.py

@@ -108,6 +108,25 @@ class GMTRemoteDataset(NamedTuple):
             "01m": Resolution(["gridline"], True),
         },
     ),
+    "earth_magnetic_anomaly": GMTRemoteDataset(
+        title="Earth magnetic anomaly",
+        name="magnetic_anomaly",
+        long_name="Earth magnetic anomaly",
+        units="nT",
+        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),
+        },
+    ),
 }
 
 

pygmt/tests/test_datasets_earth_magnetic_anomaly.py

@@ -0,0 +1,80 @@
+"""
+Test basic functionality for loading Earth magnetic anomaly datasets.
+"""
+import numpy as np
+import numpy.testing as npt
+import pytest
+from pygmt.datasets import load_earth_magnetic_anomaly
+from pygmt.exceptions import GMTInvalidInput
+
+
+def test_earth_mag_fails():
+    """
+    Make sure earth_magnetic_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_magnetic_anomaly(resolution=resolution)
+
+
+def test_earth_mag_incorrect_registration():
+    """
+    Test loading earth_magnetic_anomaly with incorrect registration type.
+    """
+    with pytest.raises(GMTInvalidInput):
+        load_earth_magnetic_anomaly(registration="improper_type")
+
+
+def test_earth_mag_01d():
+    """
+    Test some properties of the magnetic anomaly 01d data.
+    """
+    data = load_earth_magnetic_anomaly(resolution="01d", registration="gridline")
+    assert data.name == "magnetic_anomaly"
+    assert data.attrs["long_name"] == "Earth magnetic anomaly"
+    assert data.attrs["units"] == "nT"
+    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(), -384)
+    npt.assert_allclose(data.max(), 1057.2)
+
+
+def test_earth_mag_01d_with_region():
+    """
+    Test loading low-resolution earth magnetic anomaly with 'region'.
+    """
+    data = load_earth_magnetic_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(), -180.40002)
+    npt.assert_allclose(data.max(), 127.39996)
+
+
+def test_earth_mag_04m_with_region():
+    """
+    Test loading a subregion of high-resolution earth magnetic anomaly data.
+    """
+    data = load_earth_magnetic_anomaly(
+        resolution="03m", region=[-115, -112, 4, 6], registration="gridline"
+    )
+    assert data.shape == (41, 61)
+    npt.assert_allclose(data.lat, np.arange(4, 6.01, 0.05))
+    npt.assert_allclose(data.lon, np.arange(-115, -111.99, 0.05))
+    npt.assert_allclose(data.data.min(), -193)
+    npt.assert_allclose(data.data.max(), 110)
+
+
+def test_earth_mag_05m_without_region():
+    """
+    Test loading high-resolution earth magnetic anomaly without passing
+    'region'.
+    """
+    with pytest.raises(GMTInvalidInput):
+        load_earth_magnetic_anomaly("05m")