Diversity

Generate biodiversity indices for species analysis.

pydwcviz.diversity.shannon(df, decimals=3)

Generate Shannon’s Diversity Index from species occurrence data.

Parameters

• df – [DataFrame] DataFrame. Species Occurrence data as a pandas DataFrame

• decimals – [Integer] Decimals. Precision to be maintained in coordinates. Used for aggregation of records (binning).

Returns

A DataFrame

Usage:

from pyobis import occurrences
from pydwcviz import diversity

data = occurrences.search(
    # this is a geometry in the Arabian Sea (right of India)
    geometry="POLYGON ((58.3301 19.0935, 69.8145 19.0381, 69.8145 9.5161, 58.6230 9.6316, 58.3301 19.0935))", 
).execute()

diversity.shannon(data, 3)

pydwcviz.diversity.es50(df, decimals=3)

Generate ES50 (Hulbert’s) Diversity Index from species occurrence data.

Parameters

• df – [DataFrame] DataFrame. Species Occurrence data as a pandas DataFrame with at least [‘decimalLongitude’,’decimalLatitude’, ‘id’, ‘species’]

• decimals – [Integer] Decimals. Precision to be maintained in coordinates. Used for aggregation of records (binning).

Returns

A DataFrame

Usage:

from pyobis import occurrences
from pydwcviz import diversity

data = occurrences.search(
    # this is a geometry in the Arabian Sea (right of India)
    geometry="POLYGON ((58.3301 19.0935, 69.8145 19.0381, 69.8145 9.5161, 58.6230 9.6316, 58.3301 19.0935))", 
).execute()

diversity.es50(data, 3)