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

Reference

Estimating Across Geographic Levels

Buiding Datasets

Downloading Datasets

Fixing Geographic Imperfections

Format Data with Dave’s Redistricting

Center of Shape

Tools for working with borders

Spatial Autocorrelation

Included Example Data

Plotting Functions

Leftovers