stl_race_income_point

A simple features data set containing the geometry and associated attributes
 for the 2013-2017 American Community Survey estimates for median household income and the
 percentage of white residents in St. Louis. This version of the sample data are stored
 as point data.

datasets

Provides a 'ggplot2' centric approach to bivariate mapping. This is a
technique that maps two quantities simultaneously rather than the single value
that most thematic maps display. The package provides a suite of tools
for calculating breaks using multiple different approaches, a selection of
palettes appropriate for bivariate mapping and scale functions for 'ggplot2'
calls that adds those palettes to maps. Tools for creating bivariate legends
are also included.

Christopher Prener

biscale

Tools and Palettes for Bivariate Thematic Mapping

Timo Grossenbacher

Angelo Zehr

Joshua Stevens

stl_race_income_point function

A data frame with 106 rows and 4 variables:<dl class="dl-horizontal">
 <dt>GEOID</dt><dd>full GEOID string</dd>
 <dt>pctWhite</dt><dd>Percent of white residents per tract</dd>
 <dt>medInc</dt><dd>Median household income of tract</dd>
 <dt>geometry</dt><dd>simple features geometry</dd>
 </dl>

Format

Race and Median Income in St. Louis by Census Tract, 2017 — stl_race_income_point

A data frame with 106 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>GEOID</dt><dd>full GEOID string</dd>
 <dt>pctWhite</dt><dd>Percent of white residents per tract</dd>
 <dt>medInc</dt><dd>Median household income of tract</dd>
 <dt>geometry</dt><dd>simple features geometry</dd>
 </dl>

stl_race_income_point: Race and Median Income in St. Louis by Census Tract, 2017

Description

Usage

Arguments

Format

Examples