sklearn.datasets.fetch_species_distributions — scikit-learn 0.20.4 documentation (original) (raw)
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. |
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| 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 = (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 test : record array, shape = (620,) 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
This dataset represents the geographic distribution of species. The dataset is provided by Phillips et. al. (2006).
The two species are:
- “Bradypus variegatus” , the Brown-throated Sloth.
- “Microryzomys minutus” , also known as the Forest Small Rice Rat, a rodent that lives in Peru, Colombia, Ecuador, Peru, and Venezuela.
- For an example of using this dataset with scikit-learn, seeexamples/applications/plot_species_distribution_modeling.py.
References
- “Maximum entropy modeling of species geographic distributions”S. J. Phillips, R. P. Anderson, R. E. Schapire - Ecological Modelling, 190:231-259, 2006.