segregation.singlegroup.RelativeClustering

class segregation.singlegroup.RelativeClustering(data, group_pop_var, total_pop_var, alpha=0.6, beta=0.5, **kwargs)[source]

Relative Clustering 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

Notes

Based on Massey, Douglas S., and Nancy A. Denton. “The dimensions of residential segregation.” Social forces 67.2 (1988): 281-315.

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

Reference: [Massey and Denton, 1988].

Attributes:
statisticfloat

Relative Clustering Index

core_dataa pandas DataFrame

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

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

Init.

Methods

__init__(data, group_pop_var, total_pop_var)

Init.