Package index • EJAM

Start an Analysis - Key Functions

Starting the Analysis

EJAM EJAM-package: EJAM - Environmental Justice Analysis Multisite tool
ejamapp(): Launch EJAM as Shiny web app (e.g. to run it locally in RStudio)
ejamit(): Get an EJ analysis (residential population and environmental indicators) in or near a list of locations
ejamit_compare_distances(): Compare EJAM results overall for more than one radius Run ejamit() once per radius, get a summary table with a row per radius
ejamit_compare_types_of_places(): Compare subsets (types) of places that are all from one list

View Results - Key Functions

Viewing the Results

ejam2excel(): Save EJAM results in a spreadsheet
ejam2report(): View HTML Report on EJAM Results (Overall or at 1 Site)
ejam2map(): Show EJAM results as a map of points
ejam2barplot(): Barplot of ratios of residential population (or other) scores to averages - simpler syntax
ejam2barplot_indicators(): Create facetted barplots of groups of indicators
ejam2barplot_areafeatures(): barplot of summary stats on special areas and features at the sites
ejam2boxplot_ratios(): Make boxplot of ratios to US averages
ejam2barplot_sites(): Barplot comparing sites on 1 indicator, based on full output of ejamit() easy high-level function for getting a quick look at top few sites
ejam2barplot_sitegroups(): Barplot comparing groups of sites on 1 indicator, for output of ejamit_compare_types_of_places() easy high-level function for getting a quick look at top few groups of sites
ejam2barplot_distances(): Barplot comparing ejamit_compare_distances() results for more than one radius
ejam2histogram(): Histogram of single indicator from EJAM output
ejam2ratios(): Quick view of summary stats by type of stat, but lacks rounding specific to each type, etc.
ejam2means(): ejam2means - quick look at averages, via ejamit() results
ejam2tableviewer(): See ejamit()$results_bysite in interactive table in RStudio viewer pane
ejam2table_tall(): Simple quick look at results of ejamit() in RStudio console
ejam2shapefile(): export EJAM results as geojson/zipped shapefile/kml for use in ArcPro, EJSCREEN, etc.

Specify Points by Lat/Lon

Utilities for working with latitude/ longitude or address

testpoints_n(): Random points in USA - average resident, facility, BG, block, or square mile
sitepoints_from_any() sitepoints_from_anything(): Get lat/lon flexibly - from file, data.frame, data.table, or lat/lon vectors Like latlon_from_anything() but this also adds a ejam_uniq_id column
latlon_from_anything(): Get lat/lon flexibly - from file, data.frame, data.table, or lat/lon vectors
latlon_from_address_table(): get lat,lon from table that contains USPS addresses
latlon_from_address(): geocode, but only if AOI package is installed and attached and what it imports like tidygeocoder etc.
latlon_from_shapefile(): Convert shapefile (class sf) to data.table of lat and lon columns Makes lat and lon columns, from a sfc_POINT class geometry field, or finds centroids of POLYGONS
latlon_from_shapefile_centroids(): get coordinates of each polygon centroid, using INTPTLAT,INTPTLON if those columns already exist
latlon_from_fips(): get approx centroid of each fips census unit
address_from_table(): get USPS addresses from a table of that info
latlon_is.valid(): Check if lat lon are OK – validate latitudes and longitudes
lat_alias: lat_alias, lon_alias (DATA) Synonyms for lat and lon
islandareas: islandareas (DATA) table, bounds info on lat lon of US Island Areas

Specify Facilities by ID

latlon_from_regid(): Get latitude, longitude (and NAICS) via EPA Facility Registry ID See FRS Facility Registry Service data on EPA-regulated sites
regids_valid(): validate regids by checking if they are in the database being used currently
latlon_from_programid(): Get lat lon, Registry ID, and NAICS, for given FRS Program System ID
frs_from_programid(): Use EPA Program ID to see FRS Facility Registry Service data on those EPA-regulated sites
frs_from_sitename(): Use site name text search to see FRS Facility Registry Service data on those EPA-regulated sites
frs: frs (DATA) EPA Facility Registry Service table of regulated sites
frs_by_programid: frs_by_programid (DATA) data.table of Program System ID code(s) for each EPA-regulated site in the Facility Registry Service

Specify Facilities by Type

NAICS, SIC, MACT, or EPA Program

Choosing NAICS/SIC Industry Codes

naics_from_any(): NAICS - General way to search for industry names and NAICS codes
sic_from_any(): General way to search for industry names and NAICS codes
naics_is.valid(): validate industry NAICS codes
naics_categories(): NAICS - See the names of industrial categories and their NAICS code
sic_categories(): See the names of SIC industrial categories and their codes
naics_url_of_code(): NAICS - Get URL for page with info about industry sector(s) by NAICS
naics_findwebscrape(): for query term, show list of roughly matching NAICS, scraped from web
naics_subcodes_from_code(): NAICS - find subcategories of the given overall NAICS industry code(s)
sic_subcodes_from_code(): Find subcategories of the given overall SIC industry code(s)
naics2children(): NAICS - query NAICS codes and also see all children (subcategories) of any of those
sic_from_name(): Search for industry names and SIC codes by query string
sic_from_code(): Search for industry names by SIC code(s), 4 digits each

Using NAICS/SIC Industry Codes

latlon_from_naics(): Find EPA-regulated facilities in FRS by NAICS code (industrial category)
latlon_from_sic(): Find EPA-regulated facilities in FRS by SIC code (industrial category)
regid_from_naics(): Find registry ids of EPA-regulated facilities in FRS by NAICS code (industrial category) Like latlon_from_naics() but returns only regid
frs_from_naics(): Use NAICS code or industry title text search to see FRS Facility Registry Service data on those EPA-regulated sites
frs_from_sic(): Use SIC code or industry title text search to see FRS Facility Registry Service data on those EPA-regulated sites

NAICS/SIC datasets

testinput_naics: testinput_naics dataset
naics_counts: naics_counts (DATA) data.frame with regulated facility counts for each industry code
NAICS: NAICS (DATA) named list of all NAICS code numbers and industry name for each
SIC: SIC (DATA) named list of all SIC code numbers and category name for each
naicstable: naicstable (DATA) data.table of NAICS code(s) and industry names for each EPA-regulated site
sictable: sictable (DATA) data.table of SIC code(s) and industry names for each EPA-regulated site
frs_by_naics: frs_by_naics (DATA) data.table of NAICS code(s) for each EPA-regulated site in Facility Registry Service
frs_by_sic: frs_by_sic (DATA) data.table of SIC code(s) for each EPA-regulated site in Facility Registry Service

EPA Programs

testinput_program_name: testinput_program_name dataset
testinput_program_sys_id: test data, EPA program names and program system ID numbers to try using
epa_programs: epa_programs (DATA) named vector with program counts
epa_programs_defined: Full names and definitions for acronyms of EPA programs in Facility Registry Services (FRS)
latlon_from_program(): Get lat lon, Registry ID, and NAICS, for given FRS Program System CATEGORY
frsprogramcodes: frsprogramcodes DATA EPA programs listed in Facility Registry Service
frs_from_program(): Use EPA Program acronym like TRIS to see FRS Facility Registry Service data on those EPA-regulated sites

MACT Categories

testinput_mact: testinput_mact dataset
mact_table: mact_table (DATA) MACT NESHAP subparts (the code and the description)
latlon_from_mactsubpart(): Get point locations for US EPA-regulated facilities that have sources subject to Maximum Achievable Control Technology (MACT) standards under the Clean Air Act.
frs_by_mact: frs_by_mact (DATA) MACT NESHAP subpart(s) that each EPA-regulated site is subject to

Specify Places by Shapefile

testinput_shapes_2: testinput_shapes_2 dataset
shapefile_from_any(): Read shapefile from any file or folder (trying to infer the format)
shapefile_from_sitepoints(): Convert table of lat,lon points/sites into spatial data.frame / shapefile
shapefile_clean(): Drop invalid rows, warn if all invalid, add unique ID, transform (CRS)
shape_buffered_from_shapefile(): shape_buffered_from_shapefile - add buffer around shape
shape_buffered_from_shapefile_points(): shape_buffered_from_shapefile_points - add buffer around shape (points, here)
shapes_from_fips(): Download shapefiles based on FIPS codes of States, Counties, Cities/CDPs, Tracts, or Blockgroups (not blocks)
shapes_counties_from_countyfips(): Get Counties boundaries via API, to map them
shapes_blockgroups_from_bgfips(): Get blockgroups boundaries, via API, to map them
shape2zip(): Save spatial data.frame as shapefile.zip
ejam2shapefile(): export EJAM results as geojson/zipped shapefile/kml for use in ArcPro, EJSCREEN, etc.
shape2geojson(): convert spatial data.frame to a vector of geojson text strings
latlon_from_shapefile(): Convert shapefile (class sf) to data.table of lat and lon columns Makes lat and lon columns, from a sfc_POINT class geometry field, or finds centroids of POLYGONS
latlon_from_shapefile_centroids(): get coordinates of each polygon centroid, using INTPTLAT,INTPTLON if those columns already exist

Specify Counties etc.

Tools to work with Census units & FIPS codes - blockgroups, tracts, counties, states, & EPA Regions

FIPS tools

name2fips(): Get FIPS codes from names of states or counties inverse of fips2name(), 1-to-1 map statename, ST, countyname to FIPS of each
fips2name(): FIPS - Get county or state names from county or state FIPS codes
fips2countyfips(): FIPS - Get FIPS codes of the Counties CONTAINING the given census units (of any type)
fipstype(): FIPS - Identify what type of Census geography each FIPS code seems to be (block, county, etc.)
fips_valid(): check if FIPS code is valid, meaning it is an actual Census FIPS code for a State, County, City/CDP, etc.
fips_lead_zero(): FIPS - Add leading zeroes to fips codes if missing, replace with NA if length invalid
latlon_from_fips(): get approx centroid of each fips census unit
fips2pop(): Get population counts (ACS EJSCREEN) by FIPS Utility to aggregate just population count for each FIPS Census unit
fips_from_table(): FIPS - Read and clean FIPS column from a table, after inferring which col it is
fips_bgs_in_fips(): FIPS - Get unique blockgroup fips in or containing specified fips of any type
fips_place_from_placename(): search using names of cities, towns, etc. to try to find matches and get FIPS helper used by name2fips()
censusplaces: censusplaces (DATA) Census FIPS and other basic info on roughly 40,000 cities/towns/places

Counties

counties_as_sites(): FIPS - Analyze US Counties as if they were sites, to get summary indicators summary for each county
fips_counties_from_statefips(): FIPS - Get ALL county fips in specified states
fips_counties_from_state_abbrev(): FIPS - Get ALL county fips in specified states
fips_counties_from_statename(): FIPS - Get ALL county fips in specified states
fips2countyname(): FIPS - Get names for the Counties CONTAINING the given census units (of any type)
fips2countyfips(): FIPS - Get FIPS codes of the Counties CONTAINING the given census units (of any type)
shapes_counties_from_countyfips(): Get Counties boundaries via API, to map them
acs_bycounty(): download ACS 5year data from Census API, at County resolution
plot_bycounty(): plot comparison of counties in 1 state, for 1 indicator (variable)
url_county_health(): URL functions - Get URLs of useful report(s) on Counties containing the given fips, from countyhealthrankings.org
url_county_equityatlas(): URL functions - Get URLs of useful report(s) on County containing the given fips from nationalequityatlas.org

States

states_shapefile: This is used to figure out which state contains each point (facility/site).
states_as_sites(): FIPS - Analyze US States as if they were sites, to get summary indicators summary
fips_state_from_state_abbrev(): FIPS - Get state fips for each state abbrev
fips_state_from_statename(): FIPS - Get state fips for each state name
fips_states_in_eparegion(): FIPS - Get state fips for all States in EPA Region(s)
fips2statename(): FIPS - Get names of the States CONTAINING the given census units (of any type)
fips2stateabbrev(): FIPS - Get state abbreviations of the states containing the given census units (of any type)
fips2statefips(): FIPS - Get FIPS codes of the States CONTAINING the given census units (of any type)
state_from_fips_bybg(): Get FIPS of ALL BLOCKGROUPS in the States or Counties specified
state_from_latlon(): Find what state is where each point is located
url_state_health(): URL functions - Get URLs of useful report(s) on STATES containing the given fips, from countyhealthrankings.org
url_state_equityatlas(): URL functions - Get URLs of useful report(s) on STATE containing the given fips, from equity atlas

Regions

fips_st2eparegion(): FIPS - Get EPA Region number (1-10) from state FIPS code

Residents, Blocks, & Distances

GIS tools calculating which blocks (& residents) are in or near each place (within given radius of point or in FIPS or polygon), & their distances

getblocksnearby(): Very fast way to distances to all nearby Census blocks
getblocksnearby_from_fips(): Find all blocks within each of the FIPS codes provided
get_blockpoints_in_shape(): Find all Census blocks in a polygon, using internal point of block
getblocks_diagnostics(): utility - How many blocks and many other stats about blocks and sites
getpointsnearby(): Find IDs of and distances to all nearby points (e.g., schools, or EPA-regulated facilities, etc.)
getfrsnearby(): Find all EPA-regulated facilities nearby each specified point and distances
proxistat(): DRAFT - Create a custom proximity score for every blockgroup, representing count and proximity of specified points Indicator of proximity of residents in each US blockgroup to a custom set of facilities or sites
indexblocks(): Create localtree (a quadtree index of all US block centroids) in global environment
indexpoints(): Utility to create efficient quadtree spatial index of any set of lat,lon
indexfrs(): Utility to create an efficient quadtree spatial index of EPA-regulated facility locations
convert_units(): Convert units of distance or area
fips2pop(): Get population counts (ACS EJSCREEN) by FIPS Utility to aggregate just population count for each FIPS Census unit

Datasets with Indicators (raw data, means, percentiles)

blockgroupstats: blockgroupstats (DATA) residential population and environmental indicators for Census blockgroups
bgej: bgej (DATA) Summary Indexes for Census blockgroups
bgpts: bgpts (DATA) lat lon of popwtd center of blockgroup, and count of blocks per blockgroup
bg_cenpop2020: bg_cenpop2020 (DATA) data.table with all US Census 2020 blockgroups
acs_bybg(): download ACS 5year data from Census API, at blockgroup resolution (slowly if for entire US)
acs_table_info(): utility to download and print some info about each variable in each ACS 5yr table
tables_ejscreen_acs: tables_ejscreen_acs dataset
avg.in.us: avg.in.us (DATA) national averages of key indicators, for convenience
usastats: usastats (DATA) data.frame of 100 percentiles and means
stateinfo: stateinfo (DATA) data.frame of state abbreviations and state names (50+DC+PR; not AS, GU, MP, VI, UM)
stateinfo2: stateinfo2 (DATA) data.frame of state abbreviations and state names (50+DC+PR; not AS, GU, MP, VI, UM)
statestats: statestats (DATA) data.frame of 100 percentiles and means for each US State and PR and DC.
modelDoaggregate: Regression model to predict runtime for doaggregate
modelEjamit: Regression model to predict runtime for ejamit

Calculations & Aggregation

Tools that Create or Aggregate Indicators at each Place & Overall, & Report Percentiles or Means

doaggregate(): Summarize environmental and residential population indicators at each location and overall
calc_ejam(): DRAFT utility to use formulas provided as text, to calculate indicators
calc_byformula(): DRAFT utility to use formulas provided as text, to calculate indicators
pctile_from_raw_lookup() lookup_pctile(): Find approx percentiles in lookup table for just 1 indicator or 1 zone (State or US)
usastats_means(): usastats_means - convenient way to see US MEANS of ENVIRONMENTAL and residential population indicators
usastats_query(): usastats_query - convenient way to see US mean, pctiles of Envt and Demog indicators in lookup table
usastats_queryd(): usastats_queryd - convenient way to see US mean, pctiles of residential population indicators in lookup table
usastats_querye(): usastats_querye - convenient way to see US mean, pctiles of ENVIRONMENTAL indicators in lookup table
statestats_means(): statestats_means - convenient way to see STATE MEANS of ENVIRONMENTAL and RESIDENTIAL POPULATION indicators
statestats_query(): statestats_query - convenient way to see mean, pctiles of Env or Demog indicators from lookup table
statestats_queryd(): statestats_queryd - convenient way to see mean, pctiles of DEMOG indicators from lookup table
statestats_querye(): statestats_querye - convenient way to see mean, pctiles of ENVIRONMENTAL indicators from lookup table

Calculating Summary Stats, etc.

count_sites_with_n_high_scores(): Answers questions like how many sites have certain indicators >2x the state avg?
colcounter(): Count columns (indicators) with Value (at or) above (or below) threshold Counts high scores, by site
colcounter_summary_all(): Summarize count (and percent) of rows with exactly (and at least) N cols >= various thresholds
popshare_at_top_n(): top N sites account for what percent of residents?
popshare_at_top_x_pct(): top X percent of sites account for what percent of residents?
popshare_p_lives_at_what_n(): how many sites account for P percent of residents?
popshare_p_lives_at_what_pct(): what percent of sites is enough to account for (at least) P percent of residents? minimum share of sites that can account for at least P% of population
distance_trends(): Which indicators fall most as proximity does? (i.e., are higher if closer to site) Which variables have strongest trend with distance based on slope of linear fit

Comparing Distances / Multiple Radius Values

ejamit_compare_distances(): Compare EJAM results overall for more than one radius Run ejamit() once per radius, get a summary table with a row per radius
ejamit_compare_distances_fulloutput(): Compare ejamit() full results for more than one radius Helper used by ejamit_compare_distances() to run ejamit() once per radius, get FULL ejamit() output list per radius
ejam2barplot_distances(): Barplot comparing ejamit_compare_distances() results for more than one radius
distance_by_group_by_site(): Ratios at each site, of avg dist of group / avg dist of everyone else near site
distance_by_group_plot() distance_cdf_by_group_plot() plot_distance_cdf_by_group(): Each groups distribution of distances
plot_distance_mean_by_group() plot_distance_by_group() distance_mean_by_group() distance_by_group(): Barplot of Average Proximity, by Group
distance_trends(): Which indicators fall most as proximity does? (i.e., are higher if closer to site) Which variables have strongest trend with distance based on slope of linear fit

Viewing Results - Deep Dive

Tables

ejam2report(): View HTML Report on EJAM Results (Overall or at 1 Site)
ejam2excel(): Save EJAM results in a spreadsheet
ejam2ratios(): Quick view of summary stats by type of stat, but lacks rounding specific to each type, etc.
ejam2areafeatures(): simple way to see the table of summary stats on special areas and features like schools
ejam2means(): ejam2means - quick look at averages, via ejamit() results
ejam2tableviewer(): See ejamit()$results_bysite in interactive table in RStudio viewer pane
ejam2table_tall(): Simple quick look at results of ejamit() in RStudio console
table_ratios_from_ejamit(): Quick view of summary stats by type of stat, but lacks rounding specific to each type, etc.
table_gt_from_ejamit(): Create a gt-format table of results from EJAM
table_gt_from_ejamit_1site(): Create a formatted table of results for 1 site from EJAM
table_gt_from_ejamit_overall(): Create a formatted table of results from EJAM overall summary stats

Maps of Points

ejam2map(): Show EJAM results as a map of points
ejam2shapefile(): export EJAM results as geojson/zipped shapefile/kml for use in ArcPro, EJSCREEN, etc.
mapfast(): Map - points - Create leaflet html widget map of points using table with lat lon
mapfastej(): Map - points - Create leaflet html widget map of points using EJAM results with EJ stats
map2browser(): quick way to open a map html widget in local browser (saved as tempfile you can share)
map_google(): Map - Open Google Maps in browser
mapfast_gg(): Map - points - ggplot2 map of points in the USA - very basic map
plot_blocks_nearby(): plot_blocks_nearby - Map view of Census blocks (their centroids) near one or more sites Utility to quickly view one or more facility points on map with the blocks found nearby

Maps of Shapes (Polygons)

mapfastej_counties(): Map - County polygons / boundaries - Create leaflet or static map of results of analysis
map_counties_in_state(): Basic map of county outlines within specified state(s) Not used by shiny app
map_shapes_leaflet(): Map - polygons - Create leaflet map from shapefile, in shiny app
map_shapes_mapview(): Map - polygons - Use mapview package if available
map_shapes_plot(): Map - polygons - Use base R plot() to map polygons
map_blockgroups_over_blocks(): Map - Blockgroup polygons / boundaries near 1 site - Create leaflet map
shapes_blockgroups_from_bgfips(): Get blockgroups boundaries, via API, to map them

Map Popups

popup_from_any(): Map popups - Simple map popup from a table in data.table format or data.frame, one point per row

Plots: Mean of each indicator (comparing populations/groups, comparing environmental factors, etc.)

ejam2barplot(): Barplot of ratios of residential population (or other) scores to averages - simpler syntax
ejam2barplot_indicators(): Create facetted barplots of groups of indicators

Plots: Mean of one indicator at each site or type of site (comparing sites or categories of sites)

ejam2barplot_sites(): Barplot comparing sites on 1 indicator, based on full output of ejamit() easy high-level function for getting a quick look at top few sites
plot_barplot_sites(): barplot comparing sites on 1 indicator, based on table of site data a quick way to plot a calculated variable at each site, which ejam2barplot_sites() can't
plot_lorenz_popcount_by_site(): lorenz plot bysite (cumulative share of x vs cum share of y) - DRAFT/EXPERIMENTAL COMPARES TWO subsets OF SITES (or people??)
ejam2barplot_sitegroups(): Barplot comparing groups of sites on 1 indicator, for output of ejamit_compare_types_of_places() easy high-level function for getting a quick look at top few groups of sites
plot_barplot_sitegroups(): barplot comparing groups of sites on 1 indicator, based on table of grouped site data

Plots: Mean of each indicator as ratio to average (comparing populations/groups, comparing environmental factors, etc.)

ejam2barplot(): Barplot of ratios of residential population (or other) scores to averages - simpler syntax
ejam2barplot_areafeatures(): barplot of summary stats on special areas and features at the sites
plot_barplot_ratios_ez(): Helper - Barplot of ratios of indicators (at a site or all sites overall) to US or State average
plot_barplot_ratios(): helper - Barplot of ratios of residential population percentages (or other scores) to averages (or other references)

Plots: Distribution of one indicator across residents or sites (comparing populations/groups, comparing environmental factors, etc.)

ejam2histogram(): Histogram of single indicator from EJAM output
ejam2boxplot_ratios(): Make boxplot of ratios to US averages
plot_boxplot_pctiles(): Boxplots comparing a few indicators showing how each varies across sites Visualize mean median etc. for each of several percentile indicators
plot_ridgeline_ratios_ez(): Make ridgeline plot of ratios of residential population percentage to its average
plot_ridgeline_ratios(): Make ridgeline plot of ratios of residential population percentage to its average

Plots: Distance(s) for each population/group

ejam2barplot_distances(): Barplot comparing ejamit_compare_distances() results for more than one radius

Plots: Indicator as a function of distance (comparing distances & indicators)

ejam2barplot_distances(): Barplot comparing ejamit_compare_distances() results for more than one radius
plot_distance_by_pctd(): What percentage of this group's population lives less than X miles from a site? — *** DRAFT - NEED TO RECHECK CALCULATIONS
plot_distance_mean_by_group() plot_distance_by_group() distance_mean_by_group() distance_by_group(): Barplot of Average Proximity, by Group
distance_by_group_plot() distance_cdf_by_group_plot() plot_distance_cdf_by_group(): Each groups distribution of distances
plot_demogshare_by_distance(): plot_demogshare_by_distance - work in progress
plot_lorenz_distance_by_dcount(): lorenz plot bybg_people (cumulative share of x vs cum share of y) - DRAFT/EXPERIMENTAL COUNT OF SITES (or PEOPLE?) BY BIN

Examples of Input & Output Data

Finding Examples of Inputs/Outputs

testdata(): utility to show dir_tree of available files in testdata folders See list of samples of input files to try in EJAM, and output examples from EJAM functions
testdatafolder(): utility to show path to testdata folders see folder that has samples of input files to try in EJAM, and output examples from EJAM functions
pkg_data(): UTILITY - DRAFT - See names and size of data sets in installed package(s) - internal utility function

Examples of Inputs (polygons/ shapefiles)

testshapes_2: testshapes_2 dataset

Examples of Inputs (Census units by FIPS)

testinput_fips_mix: testinput_fips_mix dataset
testinput_fips_states: testinput_fips_states dataset
testinput_fips_counties: testinput_fips_counties dataset
testinput_fips_cities: testinput_fips_cities dataset
testinput_fips_tracts: testinput_fips_tracts dataset
testinput_fips_blockgroups: testinput_fips_blockgroups dataset

Examples of Inputs (Points by lat/lon or address)

testpoints_n(): Random points in USA - average resident, facility, BG, block, or square mile
testpoints_5: test points data.frame with columns sitenumber, lat, lon
testpoints_10: test points data.frame with columns sitenumber, lat, lon
testpoints_50: test points data.frame with columns sitenumber, lat, lon
testpoints_100: test points data.frame with columns sitenumber, lat, lon
testpoints_500: test points data.frame with columns sitenumber, lat, lon
testpoints_1000: test points data.frame with columns sitenumber, lat, lon
testpoints_10000: test points data.frame with columns sitenumber, lat, lon
testinput_address_table: datasets for trying address-related functions

Examples of Inputs (Points by regulated facility)

testinput_registry_id: test data, EPA Facility Registry ID numbers to try using
testinput_program_sys_id: test data, EPA program names and program system ID numbers to try using
testinput_program_name: testinput_program_name dataset
testinput_naics: testinput_naics dataset
testinput_sic: testinput_sic dataset
testinput_mact: testinput_mact dataset

Examples of Outputs

testoutput_ejamit_10pts_1miles: test output of ejamit()
testoutput_ejamit_100pts_1miles: test output of ejamit()
testoutput_ejamit_1000pts_1miles: test output of ejamit()
testoutput_ejamit_shapes_2: testoutput_ejamit_shapes_2 dataset
testoutput_ejamit_fips_cities: testoutput_ejamit_fips_cities dataset
testoutput_ejamit_fips_counties: testoutput_ejamit_fips_counties dataset

Utilities providing URL or API info

url_ejamapi(): Get URL(s) of HTML summary reports for use with EJAM-API
url_ejscreenmap(): Get URL(s) for (new) EJSCREEN app with map centered at given point(s)
url_enviromapper(): Get URLs of EnviroMapper reports
url_echo_facility(): Get URLs of ECHO reports
url_frs_facility(): Get URLs of FRS reports
url_county_health(): URL functions - Get URLs of useful report(s) on Counties containing the given fips, from countyhealthrankings.org
url_state_health(): URL functions - Get URLs of useful report(s) on STATES containing the given fips, from countyhealthrankings.org
url_county_equityatlas(): URL functions - Get URLs of useful report(s) on County containing the given fips from nationalequityatlas.org
url_state_equityatlas(): URL functions - Get URLs of useful report(s) on STATE containing the given fips, from equity atlas
url_naics.com(): URL functions - url_naics.com - Get URL for page with info about industry sectors by text query term
url_ejscreentechdoc(): utility to get URL of .pdf of EJSCREEN Technical Documentation

Utilities handling variable names

Utilities to handle variable names, indicator metadata, formulas, etc.

fixcolnames(): helper function to rename variables that are colnames of data.frame
names_d: a list of variable names for internal use in EJAM
names_e: a list of variable names for internal use in EJAM
map_headernames: map_headernames provides metadata about all indicators in EJSCREEN / EJAM