sklearn.datasets.fetch_species_distributions

sklearn.datasets.fetch_species_distributions(data_home=None, download_if_missing=True)[source]

Loader for species distribution dataset from Phillips et. al. (2006)

Read more in the User Guide.

Parameters:

data_home : optional, default: None

Specify another download and cache folder for the datasets. By default all scikit learn data is stored in ‘~/scikit_learn_data’ subfolders.

download_if_missing : optional, True by default

If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.
Returns:

The data is returned as a Bunch object with the following attributes: :

coverages : array, shape = [14, 1592, 1212]

These represent the 14 features measured at each point of the map grid. The latitude/longitude values for the grid are discussed below. Missing data is represented by the value -9999.

train : record array, shape = (1623,)

The training points for the data. Each point has three fields:

  • train[‘species’] is the species name
  • train[‘dd long’] is the longitude, in degrees
  • train[‘dd lat’] is the latitude, in degrees

test : record array, shape = (619,)

The test points for the data. Same format as the training data.

Nx, Ny : integers

The number of longitudes (x) and latitudes (y) in the grid

x_left_lower_corner, y_left_lower_corner : floats

The (x,y) position of the lower-left corner, in degrees

grid_size : float

The spacing between points of the grid, in degrees

Notes

  • See examples/applications/plot_species_distribution_modeling.py for an example of using this dataset with scikit-learn

References

Examples using sklearn.datasets.fetch_species_distributions