Package 'cincy'

Title: Cincinnati Neighborhood, Tract, County, and ZIP Code Geographies
Description: Provide simple feature (sf) objects for Cincinnati neighborhood, tract, county, and ZIP code geographies.
Authors: Cole Brokamp [aut, cre], Erika Rasnick [aut]
Maintainer: Cole Brokamp <[email protected]>
License: GPL (>= 3)
Version: 1.1.0
Built: 2024-11-17 05:27:31 UTC
Source: https://github.com/geomarker-io/cincy

Help Index

Add neighborhood based on census tract

Description

This function uses the internal data objects, hamilton_tract_to_cincy_neighborhood_2010 and hamilton_tract_to_cincy_neighborhood_2020, to add a neighborhood from cincy::neigh_cchmc_2010 and cincy::neigh_cchmc_2020 for each row of a data frame.

Usage

add_neighborhood(.x, vintage = c("2010", "2020"))

Arguments

.x

a data frame containing a census tract column named census_tract_id, census_tract_id_2010, or census_tract_id_2020
vintage

a string specifying to use the 2010 or 2020 census tract to neighborhood lookup table; if set will override any vintage found in census tract id column names

Details

The vintage of tracts is automatically inferred based on the name of the found tract column (census_tract_id_2010 or census_tract_id_2020), but can be specified using the vintage argument. If just the column census_tract_id exists, then a default of 2010 will be used.

Examples

add_neighborhood(tract_tigris_2010)

Block Groups

Description

Census block groups for Hamilton County from 2000, 2010, and 2020.

Usage

blockgroup_tigris_2000

blockgroup_tigris_2010

blockgroup_tigris_2020

Format

An object of class sf (inherits from data.frame) with 736 rows and 2 columns.

An object of class sf (inherits from data.frame) with 697 rows and 2 columns.

An object of class sf (inherits from data.frame) with 678 rows and 2 columns.

Details

Block groups were downloaded directly from the Census Bureau using the tigris package

Source

2000 TIGER/Line Shapefiles

2010 TIGER/Line Shapefiles

2020 TIGER/Line Shapefiles Block Groups (2000 TIGER/Line)

Seven County Region

Description

County groupings are derived from CCHMC operational definitions

Usage

county_7cc_2010

Format

A simple features data frame with 7 rows and 6 columns:

county_name

County Name

county_id

County ID

state_name

State Name

state_id

State ID

geoid

GEOID (state_id + county_id)

geometry

simple features geometry column

Source

see data-raw/data.R for county FIPS listed for each grouping

Examples

tmap::tm_shape(county_7cc_2010) +
  tmap::tm_polygons(col = "county_name",
                    legend.show = FALSE) +
  tmap::tm_text(text = "county_name")

Eight County Region

Description

County groupings are derived from CCHMC operational definitions

Usage

county_8cc_2010

Format

A simple features data frame with 8 rows and 6 columns:

county_name

County Name

county_id

County ID

state_name

State Name

state_id

State ID

geoid

GEOID (state_id + county_id)

geometry

simple features geometry column

Source

see data-raw/data.R for county FIPS listed for each grouping

Examples

tmap::tm_shape(county_8cc_2010) +
  tmap::tm_polygons(col = "county_name",
                    legend.show = FALSE) +
  tmap::tm_text(text = "county_name")

Healthvine Counties

Description

County groupings are derived from CCHMC operational definitions

Usage

county_hlthv_2010

Format

A simple features data frame with 15 rows and 6 columns:

county_name

County Name

county_id

County ID

state_name

State Name

state_id

State ID

geoid

GEOID (state_id + county_id)

geometry

simple features geometry column

Source

see data-raw/data.R for county FIPS listed for each grouping

Examples

tmap::tm_shape(county_hlthv_2010) +
  tmap::tm_polygons(col = "county_name",
                    legend.show = FALSE) +
  tmap::tm_text(text = "county_name")

Healthvine Ohio Counties

Description

County groupings are derived from CCHMC operational definitions

Usage

county_hlthvoh_2010

Format

A simple features data frame with 8 rows and 6 columns:

county_name

County Name

county_id

County ID

state_name

State Name

state_id

State ID

geoid

GEOID (state_id + county_id)

geometry

simple features geometry column

Source

see data-raw/data.R for county FIPS listed for each grouping

Examples

tmap::tm_shape(county_hlthvoh_2010) +
  tmap::tm_polygons(col = "county_name",
                    legend.show = FALSE) +
  tmap::tm_text(text = "county_name")

Southwest Ohio Counties

Description

County groupings are derived from CCHMC operational definitions

Usage

county_swoh_2010

Format

A simple features data frame with 4 rows and 6 columns:

county_name

County Name

county_id

County ID

state_name

State Name

state_id

State ID

geoid

GEOID (state_id + county_id)

geometry

simple features geometry column

Source

see data-raw/data.R for county FIPS listed for each grouping

Examples

tmap::tm_shape(county_swoh_2010) +
  tmap::tm_polygons(col = "county_name",
                    legend.show = FALSE) +
  tmap::tm_text(text = "county_name")

Deprivation Index

Description

An example census tract-level dataset. A simple features object of all census tracts in Hamilton County, OH with values for the 2018 deprivation index and its six components.

Usage

dep_index

Format

An object of class sf (inherits from data.frame) with 222 rows and 9 columns.

Source

The 2018 deprivation_index. See data-raw/make_dep_index_data.R.

Congressional Districts (2011 TIGER/Line)

Description

Congressional Districts (2011 TIGER/Line)

Congressional Districts (2013 TIGER/Line)

Usage

districts_tigris_2011

districts_tigris_2013

Format

An object of class sf (inherits from data.frame) with 2 rows and 2 columns.

An object of class sf (inherits from data.frame) with 2 rows and 2 columns.

Spatially interpolate community-level data

Description

Weights at the census block-level are used to spatially interpolate different geographies. Block-level total population, total number of homes, or total area from the 2020 Census can be chosen to use for the weights. All numeric variables in from are interpolated non-extensively, except for any numeric variables that start with n_, which are interpolated extensively.

Usage

interpolate(from, to, weights = c("pop", "homes", "area"))

Arguments

from

sf object with a neighborhood, census tract, census block group, census block, or zcta column and numeric values to be interpolated into target geographies. The from object should be CRS 5072. If not, it will be projected to 5072 for interpolation.
to

sf object of target geography This function is designed to work with cincy:: geography objects, and to objects must be CRS 5072.
weights

use one of "pop" (population), "homes", or "area" from the 2020 census block estimates to interpolate the values

Details

Possible geography id column names include "neighborhood", "zcta", "census_tract_id", "census_block_id", "census_block_group_id", and "district". Optionally, the column names can be appended with the census decade vintage "_2000", "_2010", or "_2000" ("district" vintages include "_2011" and "_2013").

Examples

# interpolate 2018 deprivation index to ZIP code level
interpolate(dep_index, cincy::zcta_tigris_2010, "pop")
# interpolate 2018 deprivation index to  2020 census tracts
interpolate(dep_index, cincy::tract_tigris_2020, "pop")

Neighborhood: Cincinnati Community Council (CCC)

Description

Neighborhood: Cincinnati Community Council (CCC)

Usage

neigh_ccc

Format

An object of class sf (inherits from data.frame) with 75 rows and 2 columns.

Source

CAGIS Open Data Community Council (CCC) Neighborhoods

Neighborhood: CCHMC 2010

Description

Neighborhood: CCHMC 2010

Usage

neigh_cchmc_2010

Format

An object of class sf (inherits from tbl_df, tbl, data.frame) with 81 rows and 2 columns.

Source

See data-raw/hamilton_tract_to_cincy_neighborhood_2010.csv for tract to neighborhood lookup table

Neighborhood: CCHMC 2020

Description

Neighborhood: CCHMC 2020

Usage

neigh_cchmc_2020

Format

An object of class sf (inherits from tbl_df, tbl, data.frame) with 81 rows and 2 columns.

Source

See data-raw/make_tract_neigh_crosswalk_data.R for tract to neighborhood lookup table

Neighborhood: Statistical Neighborhood Approximations (SNA)

Description

Neighborhood: Statistical Neighborhood Approximations (SNA)

Usage

neigh_sna

Format

An object of class sf (inherits from data.frame) with 50 rows and 2 columns.

Source

CAGIS Open Data Community Council (CCC) Neighborhoods

Tract

Description

Census Tracts for Hamilton County from 2000, 2010, and 2020.

Usage

tract_tigris_2000

tract_tigris_2010

tract_tigris_2020

Format

An object of class sf (inherits from data.frame) with 230 rows and 2 columns.

An object of class sf (inherits from data.frame) with 222 rows and 2 columns.

An object of class sf (inherits from data.frame) with 226 rows and 2 columns.

Details

Tracts were downloaded directly from the Census Bureau using the tigris package

Source

/data-raw/make_blockgroup_tract_zcta_data.R

2000 TIGER/Line Shapefiles

2010 TIGER/Line Shapefiles

2020 TIGER/Line Shapefiles Census Tracts (2000 TIGER/Line)

ZCTA

Description

ZIP Code Tabulation Areas (ZCTAs) for Ohio that (at least partially) intersect with Hamilton County from 2000, 2010, and 2020.

Usage

zcta_tigris_2000

zcta_tigris_2010

zcta_tigris_2020

Format

An object of class sf (inherits from data.frame) with 53 rows and 2 columns.

An object of class sf (inherits from data.frame) with 54 rows and 2 columns.

An object of class sf (inherits from data.frame) with 55 rows and 2 columns.

Source

ZCTAs were downloaded directly from the Census Bureau using the tigris package ZCTA (2000 TIGER/Line)