pygmt.datasets.load_earth_free_air_anomaly
- pygmt.datasets.load_earth_free_air_anomaly(resolution='01d', region=None, registration=None, uncertainty=False)[source]
- Load the IGPP Earth free-air anomaly and uncertainty datasets in various resolutions. - IGPP Earth free-air anomaly - IGPP Earth free-air anomaly uncertainty     - This function downloads the dataset from the GMT data server, caches it in a user data directory (usually - ~/.gmt/server/earth/earth_faa/or- ~/.gmt/server/earth/earth_faaerror/), and load the dataset as an- xarray.DataArray. An internet connection is required the first time around, but subsequent calls will load the dataset from the local data directory.- The dataset can also be accessed by specifying a file name in any grid processing function or plotting method, using the following file name format: @earth_faa_type_res_reg. earth_faa_type is the GMT name for the dataset. The available options are earth_faa and earth_faaerror. res is the grid resolution; reg is the grid registration type (p for pixel registration, g for gridline registration). If reg is omitted (e.g., - @earth_faa_01d), the gridline-registered grid will be loaded for grid processing functions and the pixel-registered grid will be loaded for plotting functions. If res is also omitted (i.e.,- @earth_faa), GMT automatically selects a suitable resolution based on the current region and projection settings.- This dataset comes with two color palette table (CPT) files, - @earth_faa.cptand- @earth_faaerror.cpt. To use the dataset-specific CPT when plotting the dataset, explicitly set- cmap="@earth_faa.cpt"or- cmap="@earth_faaerror.cpt", otherwise GMT’s default CPT (turbo) will be used. If the dataset is referenced by the file name in a grid plotting method, the dataset-specific CPT file is used automatically unless another CPT is specified.- Refer to https://www.generic-mapping-tools.org/remote-datasets/earth-faa.html and https://www.generic-mapping-tools.org/remote-datasets/earth-faaerror.html for more details about available datasets, including version information and references. - Parameters:
- resolution ( - Literal[- '01d',- '30m',- '20m',- '15m',- '10m',- '06m',- '05m',- '04m',- '03m',- '02m',- '01m'], default:- '01d') – The grid resolution. The suffix- dand- mstand for arc-degrees and arc-minutes.
- region ( - Sequence[- float] |- str|- None, default:- None) – The subregion of the grid to load, in the form of a sequence [xmin, xmax, ymin, ymax] or an ISO country code. Required for grids with resolutions higher than 5 arc-minutes (i.e.,- "05m").
- registration ( - Literal[- 'gridline',- 'pixel',- None], default:- None) – Grid registration type. Either- "pixel"for pixel registration or- "gridline"for gridline registration. Default is- None, which means- "gridline"for all resolutions except- "01m"which is- "pixel"only.
- uncertainty ( - bool, default:- False) – By default, the Earth free-air anomaly values are returned. Set to- Trueto return the related uncertainties instead.
 
- Return type:
- Returns:
- grid – The Earth free-air anomaly (uncertainty) grid. Coordinates are latitude and longitude in degrees. Values and uncertainties are in mGal. 
 - Note - The registration and coordinate system type of the returned - xarray.DataArraygrid can be accessed via the gmt accessor. Refer to- pygmt.GMTDataArrayAccessorfor detailed explanations and limitations.- Examples - >>> from pygmt.datasets import load_earth_free_air_anomaly >>> # Load the default grid (gridline-registered 1 arc-degree grid) >>> grid = load_earth_free_air_anomaly() >>> # Load the uncertainties related to the default grid >>> grid = load_earth_free_air_anomaly(uncertainty=True) >>> # Load the 30 arc-minutes grid with "gridline" registration >>> grid = load_earth_free_air_anomaly(resolution="30m", registration="gridline") >>> # Load high-resolution (5 arc-minutes) grid for a specific region >>> grid = load_earth_free_air_anomaly( ... resolution="05m", region=[120, 160, 30, 60], registration="gridline" ... )