Bed Type Classifications

Description: Grid of bed classifications.

Dataset:

Aitken, A., Li, L., Kulessa, B., Schroeder, D., Jordan, T., Whittaker, J., Anandakrishnan, S., Dawson, E., Wiens, D., Eisen, O., & Siegert, M. (2023). AntarcticBasins v1.04: Antarcitca’s Sedimentary Basins Distribution and Classification (v1.04) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7955584

Associated paper:

Aitken, A. R. A., Li, L., Kulessa, B., Schroeder, D., Jordan, T. A., Whittaker, J. M., et al. (2023). Antarctic sedimentary basins and their influence on ice-sheet dynamics. Reviews of Geophysics, 61, e2021RG000767. https://doi.org/10.1029/2021RG000767

import polartoolkit as ptk

data = ptk.fetch.antarctic_bed_type(
    # available options
    # region,
)
data

<xarray.DataArray 'z' (y: 12000, x: 12000)> Size: 576MB
array([[nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       ...,
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan],
       [nan, nan, nan, ..., nan, nan, nan]],
      shape=(12000, 12000), dtype=float32)
Coordinates:
  * x        (x) float64 96kB -3e+06 -2.999e+06 -2.999e+06 ... 2.999e+06 3e+06
  * y        (y) float64 96kB 3e+06 2.999e+06 2.999e+06 ... -2.999e+06 -3e+06
Attributes:
    AREA_OR_POINT:  Area

xarray.DataArray

'z'

• y: 12000
• x: 12000

• nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan

  array([[nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         ...,
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan]],
        shape=(12000, 12000), dtype=float32)

• Coordinates: (2)
  • x
    (x)
    float64
    -3e+06 -2.999e+06 ... 3e+06

    array([-2999750., -2999250., -2998750., ...,  2998750.,  2999250.,  2999750.],
          shape=(12000,))

  • y
    (y)
    float64
    3e+06 2.999e+06 ... -3e+06

    array([ 2999750.,  2999250.,  2998750., ..., -2998750., -2999250., -2999750.],
          shape=(12000,))

• Indexes: (2)
  • x
    PandasIndex

    PandasIndex(Index([-2999750.0, -2999250.0, -2998750.0, -2998250.0, -2997750.0, -2997250.0,
           -2996750.0, -2996250.0, -2995750.0, -2995250.0,
           ...
            2995250.0,  2995750.0,  2996250.0,  2996750.0,  2997250.0,  2997750.0,
            2998250.0,  2998750.0,  2999250.0,  2999750.0],
          dtype='float64', name='x', length=12000))

  • y
    PandasIndex

    PandasIndex(Index([ 2999750.0,  2999250.0,  2998750.0,  2998250.0,  2997750.0,  2997250.0,
            2996750.0,  2996250.0,  2995750.0,  2995250.0,
           ...
           -2995250.0, -2995750.0, -2996250.0, -2996750.0, -2997250.0, -2997750.0,
           -2998250.0, -2998750.0, -2999250.0, -2999750.0],
          dtype='float64', name='y', length=12000))

• Attributes: (1)

  AREA_OR_POINT :

  Area

fig = ptk.basemap(
    title="Bed Type",
    coast=True,
    hemisphere="south",
    bed_type=True,
    region=ptk.regions.antarctica,
    bed_type_legend_loc="jBL",
)

fig.show(dpi=200)