"""
Function to download the Earth seafloor crustal age dataset from the GMT data server,
and load as :class:`xarray.DataArray`.
The grids are available in various resolutions.
"""
from typing import Literal
from pygmt.datasets.load_remote_dataset import _load_remote_dataset
from pygmt.helpers import kwargs_to_strings
__doctest_skip__ = ["load_earth_age"]
[docs]
@kwargs_to_strings(region="sequence")
def load_earth_age(
resolution="01d",
region=None,
registration: Literal["gridline", "pixel"] = "gridline",
):
r"""
Load the Earth seafloor crustal age dataset in various resolutions.
.. figure:: https://www.generic-mapping-tools.org/remote-datasets/_images/GMT_earth_age.jpg
:width: 80 %
:align: center
Earth seafloor crustal age dataset.
The grids are downloaded to a user data directory
(usually ``~/.gmt/server/earth/earth_age/``) 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_age**\_\ *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
the gridline registration).
The default color palette table (CPT) for this dataset is *@earth_age.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="@earth_age.cpt"``.
Refer to :gmt-datasets:`earth-age.html` for more details about available
datasets, including version information and references.
Parameters
----------
resolution : str
The grid resolution. The suffix ``d`` and ``m`` stand for
arc-degrees and arc-minutes. 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 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.
Returns
-------
grid : :class:`xarray.DataArray`
The Earth seafloor crustal age grid. Coordinates are latitude and
longitude in degrees. Age is in millions of years (Myr).
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_earth_age
>>> # load the default grid (gridline-registered 1 arc-degree grid)
>>> grid = load_earth_age()
>>> # load the 30 arc-minutes grid with "gridline" registration
>>> grid = load_earth_age(resolution="30m", registration="gridline")
>>> # load high-resolution (5 arc-minutes) grid for a specific region
>>> grid = load_earth_age(
... resolution="05m",
... region=[120, 160, 30, 60],
... registration="gridline",
... )
"""
grid = _load_remote_dataset(
name="earth_age",
prefix="earth_age",
resolution=resolution,
region=region,
registration=registration,
)
return grid