segregation.aspatial.Atkinson

class segregation.aspatial.Atkinson(data, group_pop_var, total_pop_var, b=0.5)[source]

Classic Atkinson Index

Parameters
dataa pandas DataFrame
group_pop_varstring

The name of variable in data that contains the population size of the group of interest

total_pop_varstring

The name of variable in data that contains the total population of the unit

bfloat

The shape parameter, between 0 and 1, that determines how to weight the increments to segregation contributed by different portions of the Lorenz curve.

Notes

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

Reference: [MD88].

Examples

In this example, we will calculate the Atkinson Index (A) with the shape parameter (b) equals to 0.5 for the Riverside County using the census tract data of 2010. The group of interest is non-hispanic black people which is the variable nhblk10 in the dataset.

Firstly, we need to perform some import the modules and the respective function.

>>> import pandas as pd
>>> import geopandas as gpd
>>> import segregation
>>> from segregation.aspatial import Atkinson

Secondly, we need to read the data:

>>> # This example uses all census data that the user must provide your own copy of the external database.
>>> # A step-by-step procedure for downloading the data can be found here: https://github.com/spatialucr/geosnap/blob/master/examples/01_getting_started.ipynb
>>> # After the user download the LTDB_Std_All_fullcount.zip and extract the files, the filepath might be something like presented below.
>>> filepath = '~/data/LTDB_Std_2010_fullcount.csv'
>>> census_2010 = pd.read_csv(filepath, encoding = "ISO-8859-1", sep = ",")

Then, we filter only for the desired county (in this case, Riverside County):

>>> df = census_2010.loc[census_2010.county == "Riverside County"][['pop10','tractid']]

The value is estimated below.

>>> atkinson_index = Atkinson(df, 'tractid', 'pop10', b = 0.5)
>>> atkinson_index.statistic
0.16722406110274002
Attributes
statisticfloat

Atkison 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, b=0.5)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(data, group_pop_var, total_pop_var)

Initialize self.