segregation.singlegroup.DistanceDecayInteraction

class segregation.singlegroup.DistanceDecayInteraction(data, group_pop_var, total_pop_var, alpha=0.6, beta=0.5, **kwargs)

Distance-Decay Interaction Index.

Parameters:

datapandas.DataFrame or geopandas.GeoDataFrame, required

dataframe or geodataframe if spatial index holding data for location of interest

group_pop_varstr, required

name of column on dataframe holding population totals for focal group

total_pop_varstr, required

name of column on dataframe holding total overall population

alphafloat

A parameter that estimates the extent of the proximity within the same unit. Default value is 0.6

betafloat

A parameter that estimates the extent of the proximity within the same unit. Default value is 0.5

Attributes:

statisticfloat

Distance Decay Interaction Index

core_dataa pandas DataFrame

A pandas DataFrame that contains the columns used to perform the estimate.

Notes

It may be interpreted as the probability that the next person a group member meets anywhere in space is from the same group.

Based on Morgan, Barrie S. “A distance-decay based interaction index to measure residential segregation.” Area (1983): 211-217.

The pairwise distance between unit i and itself is (alpha * area_of_unit_i) ^ beta.

Reference: [Morgan, 1983].

__init__(data, group_pop_var, total_pop_var, alpha=0.6, beta=0.5, **kwargs)

Init.

Methods

__init__(data, group_pop_var, total_pop_var)

Init.