# sklearn.datasets.fetch_species_distributions¶

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

Read more in the User Guide.

Parameters:
data_homestr, default=None

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

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

Returns:
dataBunch

Dictionary-like object, with the following attributes.

coveragesarray, 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.

trainrecord array, shape = (1624,)

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

testrecord array, shape = (620,)

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

Nx, Nyintegers

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

x_left_lower_corner, y_left_lower_cornerfloats

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

grid_sizefloat

The spacing between points of the grid, in degrees

Notes

This dataset represents the geographic distribution of species. The dataset is provided by Phillips et. al. (2006).

The two species are:

References

## Examples using sklearn.datasets.fetch_species_distributions¶

Species distribution modeling

Species distribution modeling

Kernel Density Estimate of Species Distributions

Kernel Density Estimate of Species Distributions