Package index • geomander

Estimating Across Geographic Levels

Functions for approximating values at different levels of geography

estimate_down(): Estimate Values Down Using Precomputed Matches
estimate_up(): Aggregate Values Up Using Precomputed Matches
geo_estimate_down(): Estimate Values Down to a Finer Geography
geo_estimate_up(): Aggregate Values Up to a Larger Geography
geo_match(): Match Features Across Geographic Layers

Buiding Datasets

Functions to help build and refine data

block2prec(): Aggregate a Block Table by Matches
block2prec_by_county(): Aggregate a Block Table by Matches Within County
create_block_table(): Create a Census Block-Level Table
create_tract_table(): Create an ACS Tract-Level Table
geo_filter(): Filter to Intersecting Pieces
geo_trim(): Trim Away Small Pieces

Downloading Datasets

Functions to help download common datasets

alarm_states(): List Available States from ALARM Data
clean_vest(): Clean VEST Column Names
get_alarm(): Get an ALARM Dataset
get_dra(): Get a Dave's Redistricting App Dataset
get_heda(): Get a Harvard Election Data Archive ("HEDA") Dataset
get_vest(): Get a Voting and Election Science Team ("VEST") Dataset
heda_states(): List Available HEDA States
vest_states(): List Available VEST States

Fixing Geographic Imperfections

Functions to help pretend that the geographies were properly connected

add_edge(): Add Edges to an Adjacency List
adjacency(): Build an Adjacency List
check_contiguity() cct() ccm(): Check Contiguity by Group
check_polygon_contiguity(): Check Polygon Contiguity
compare_adjacencies(): Compare Adjacency Lists
geo_sort(): Sort Features by Northwest-to-Southeast Order
split_precinct(): Split a Precinct
subtract_edge(): Remove Edges from an Adjacency List
suggest_component_connection(): Suggest Connections for Disconnected Groups
suggest_neighbors(): Suggest Neighbors for Lonely Precincts

Format Data with Dave’s Redistricting

Functions to get maps into DRA or from DRA

dra2r(): Convert DRA Export Data to an R Spatial Object
r2dra(): Convert an R Plan to DRA Block Assignment Format

Center of Shape

Adjusted centroids to ensure that the point is in the shape

geos_centerish(): Get the kind of center of each shape
geos_circle_center(): Get the centroid of the maximum inscribed circle
st_centerish(): Get the kind of center of each shape
st_circle_center(): Get the Center of the Maximum Inscribed Circle

Tools for working with borders

Functions that deal with two sides of a seam between two administrative units

seam_adj(): Filter Adjacency to the Edges Along a Seam
seam_geom(): Filter Shapes to Units Along a Seam
seam_rip(): Remove Edges Across an Administrative Boundary
seam_sew(): Suggest Edges to Sew a Seam

Spatial Autocorrelation

Functions to measure local and global autocorrelation measures

global_gearys(): Compute Global Geary's C
global_morans(): Compute Global Moran's I
gstar_i(): Compute Standardized Getis-Ord G*i
local_gearys(): Compute Local Geary's C
local_morans(): Compute Local Moran's I

Included Example Data

checkerboard: Checkerboard
checkerboard_adj: Checkerboard Adjacency
nrcsd: nrcsd
orange: orange
precincts: precincts
rockland: rockland
towns: towns
va18sub: va18sub
va_blocks: va_blocks
va_blocks: va_vtd

Plotting Functions

geo_plot(): Plot an sf Object with Row Numbers
geo_plot_group(): Plot Groups with Connected Components Colored

Leftovers

Functions that don’t really fit elsewhere

geomander-package geomander: Geographic Tools for Studying Gerrymandering
baf_to_vtd(): Estimate Plans from a Block Assignment File to Voting Districts
count_connections(): Count How Often Pairs of Units Share a District
get_lewis(): Get Historical United States Congressional District Shapefiles
get_rpvnearme(): Get the RPV Near Me Dataset
regionalize(): Estimate Regions Separated by Geographic Features