spam-classifier
/
venv
/lib
/python3.11
/site-packages
/sklearn
/datasets
/descr
/species_distributions.rst
.. _species_distribution_dataset: | |
Species distribution dataset | |
---------------------------- | |
This dataset represents the geographic distribution of two species in Central and | |
South America. The two species are: | |
- `"Bradypus variegatus" <http://www.iucnredlist.org/details/3038/0>`_ , | |
the Brown-throated Sloth. | |
- `"Microryzomys minutus" <http://www.iucnredlist.org/details/13408/0>`_ , | |
also known as the Forest Small Rice Rat, a rodent that lives in Peru, | |
Colombia, Ecuador, Peru, and Venezuela. | |
The dataset is not a typical dataset since a :class:`~sklearn.datasets.base.Bunch` | |
containing the attributes `data` and `target` is not returned. Instead, we have | |
information allowing to create a "density" map of the different species. | |
The grid for the map can be built using the attributes `x_left_lower_corner`, | |
`y_left_lower_corner`, `Nx`, `Ny` and `grid_size`, which respectively correspond | |
to the x and y coordinates of the lower left corner of the grid, the number of | |
points along the x- and y-axis and the size of the step on the grid. | |
The density at each location of the grid is contained in the `coverage` attribute. | |
Finally, the `train` and `test` attributes contain information regarding the location | |
of a species at a specific location. | |
The dataset is provided by Phillips et. al. (2006). | |
.. rubric:: References | |
* `"Maximum entropy modeling of species geographic distributions" | |
<http://rob.schapire.net/papers/ecolmod.pdf>`_ S. J. Phillips, | |
R. P. Anderson, R. E. Schapire - Ecological Modelling, 190:231-259, 2006. | |
.. rubric:: Examples | |
* :ref:`sphx_glr_auto_examples_applications_plot_species_distribution_modeling.py` | |