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)

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