Package index • EJAM

Key Functions for Starting an Analysis

Starting the Analysis

EJAM EJAM-package: EJAM - Environment and Residential Population Analysis Multisite tool

run_app(): Launch the Shiny Application 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

ejscreenit_for_ejam(): Get EJScreen results directly from EJScreen servers via their API

Key Functions for Viewing Results

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

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_indicators(): Create facetted barplots of groups of indicators

ejam2boxplot_ratios(): Make boxplot of ratios to US averages

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(): DRAFT - export EJAM results as shapefile/geojson/kml for use in ArcPro, EJScreen, etc.

Specify Points by Lat/Lon

Utilities for working with latitude/ longitude or address

sitepoints_from_any(): 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_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

address_from_table(): get USPS addresses from a table of that info

Specify Facilities by ID

latlon_from_regid(): Get lat lon (and NAICS) via Facility Registry ID

frs_from_regid(): Use registry ID to see FRS Facility Registry Service data on those EPA-regulated sites

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 Facility 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

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

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 Find all FRS sites in a program like RCRAINFO, TRIS, or others

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

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

shapefile_from_any(): Read shapefile from any file or folder (trying to infer the format)

shapefile_from_folder(): Read shapefile from a folder

shapefile_from_filepaths(): Read shapefile from disk based on the filenames given

shapefile_from_zip(): read zipped .zip that may contain a geodatabase file or .shp file etc.

shapefile_from_gdb(): read .gdb geodatabase file via sf::st_read()

shapefile_from_gdbzip(): read .zip that contains geodatabase file via unzip and st_read

shapefile_filepaths_from_folder(): Get list of valid filenames comprising shapefile including paths

shapefile_filepaths_valid(): Confirm files have ALL the extensions .shp, .shx, .dbf, and .prj

shapefile_clean(): Drop invalid rows, warn if all invalid, add unique ID, transform (CRS)

shapefile_from_sitepoints(): Convert table of lat,lon points/sites into sf:: shapefile

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)

shapefile2blockpoints(): Find all Census blocks in a polygon, using internal point of block

shapefile2latlon(): Convert shapefile (class sf) of points to data.table of lat, lon columns

shapes_from_fips(): Download shapefiles based on FIPS codes of States, Counties, Cities/CDPs, Tracts, or Blockgroups

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(): DRAFT - export EJAM results as shapefile/geojson/kml for use in ArcPro, EJScreen, etc.

Specify Counties etc.

Tools to work with Census units and FIPS codes - block groups, tracts, counties, states, and 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

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

fips2pop(): Get population counts (ACS EJScreen) by FIPS Utility to aggregate just population count for each FIPS Census unit

fips_bgs_in_fips(): FIPS - Get unique blockgroup fips in or containing specified fips of any type

fips_from_table(): FIPS - Read and clean FIPS column from a table, after inferring which col it is

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 county names from county FIPS codes

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)

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 state names from any type of FIPS codes

fips2state_abbrev(): FIPS - Get state abbreviations from any type of FIPS codes

fips2state_fips(): FIPS - Get state FIPS codes from any type of FIPS codes

state_from_sitetable(): state_from_sitetable - Identify US State that each site is in (given ST, FIPS, or lat/lon)

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

Regions

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

Finding Blocks, Distances, and Residents

GIS tools calculating which blocks (and residents) are in or near each place (within given radius of point or in FIPS or polygon), and 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(): Create a custom proximity score for some user-specified set of points, so that every US block group is assigned a proximity score counting those points

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

Calculating and Aggregating

Tools that Calculate and Aggregate Indicators at each Place and Overall, and Report Percentiles

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(): Find approx percentiles in lookup table that is in memory

lookup_pctile(): Find approx percentiles in lookup table that is in memory

high_pctiles_tied_with_min: high_pctiles_tied_with_min (DATA) internal data used to handle cases where multiple places are tied for the lowest indicator score

Datasets with Indicators, etc.

blockgroupstats: blockgroupstats (DATA) residential population and environmental indicators for Census block groups

bgej: bgej (DATA) Summary Indexes for Census block groups

bgpts: bgpts (DATA) lat lon of popwtd center of blockgroup, and count of blocks per block group

bg_cenpop2020: bg_cenpop2020 (DATA) data.table with all US Census 2020 block groups

acs_bybg(): download ACS 5year data from Census API, at block group resolution (slowly for entire US)

avg.in.us: avg.in.us (DATA) national averages of key indicators, for convenience

usastats: usastats (DATA) data.frame of 100 percentiles and means

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

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.

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

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

ejamit_compare_distances2plot(): plot indicators as a function of distance from point(s) plot results of ejamit_compare_distances()

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(): Each groups distribution of distances

distance_cdf_by_group_plot(): What percentage of this group's population lives less than X miles from a site?

distance_mean_by_group(): Avg distance of each demog group (of multiple groups) - Table or Plot

distance_by_group(): See plot_distance_mean_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

Calculating Summary Stats, etc.

batch.summarize(): Core function that calculates summary stats across all sites and nearby people for EJScreen batch analysis

count_sites_with_n_high_scores(): Answers questions like how many sites have certain indicators >2x the state avg?

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 account for P percent of residents?

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

Maps of Points

ejam2map(): Show EJAM results as a map of points

ejam2shapefile(): DRAFT - export EJAM results as shapefile/geojson/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

plotblocksnearby(): plotblocksnearby - 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 data.table or data.frame, one point per row

Plots

ejam2barplot(): Barplot of ratios of residential population (or other) scores to averages - simpler syntax

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_barplot_ratios_ez(): Same as ejam2barplot() but ejam2barplot() handles a sitenumber parameter

plot_barplot_ratios(): Barplot of ratios of residential population percentages (or other scores) to averages (or other references)

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

plot_boxplot_pctiles(): Boxplots comparing a few indicators showing how each varies across sites Visualize mean median etc. for each of several percentile indicators

boxplots_ratios(): boxplots of Residential Population Percentages across sites as ratios to US means

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

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

ejamit_compare_distances2plot(): plot indicators as a function of distance from point(s) plot results of ejamit_compare_distances()

plot_demogshare_by_distance(): plot_demogshare_by_distance - work in progress

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_by_group(): Avg distance of each demog group (of multiple groups) - Table or Plot

plot_distance_cdf_by_group(): alias for distance_by_group_plot

plot_distance_mean_by_group(): Barplot of Average Proximity, by Group

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

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??)

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.

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

ejscreenit_see_table(): Utility to get quick view in RStudio viewer of datatable of ejscreenapi results

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

Test Data

Examples of Inputs (Points, etc.)

testshapes_2: testshapes_2 dataset

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

test_address_table: datasets for trying address-related functions

testids_registry_id: test data, vector of EPA FRS Registry ID numbers

testids_program_sys_id: test data, string vector of EPA FRS Program System ID numbers

default_points_shown_at_startup: Default Points Shown at Startup keywords internal

Examples of Outputs

testoutput_ejamit_1000pts_1miles: test output of ejamit()

testoutput_ejamit_100pts_1miles: test output of ejamit()

testoutput_ejamit_10pts_1miles: test output of ejamit()

testoutput_getblocksnearby_1000pts_1miles: test output of getblocksnearby(), and is an input to doaggregate()

testoutput_getblocksnearby_100pts_1miles: test output of getblocksnearby(), and is an input to doaggregate()

testoutput_getblocksnearby_10pts_1miles: test output of getblocksnearby(), and is an input to doaggregate()

testoutput_doaggregate_1000pts_1miles: test output of doaggregate()

testoutput_doaggregate_100pts_1miles: test output of doaggregate()

testoutput_doaggregate_10pts_1miles: test output of doaggregate()

testoutput_ejscreenit_5: test data examples of output from ejscreenit() using testpoints_5, radius = 1

testoutput_ejscreenit_50: test data examples of output from ejscreenit() using testpoints_50, radius = 1

testoutput_ejscreenit_500: test data examples of output from ejscreenit() using testpoints_500, radius = 1

testoutput_ejscreenit_10pts_1miles: test output of ejscreenit(), using the EJScreen API

Utilities for finding URL or API info

url_countyhealthrankings(): URL functions - Get URLs of useful report(s) on Counties from countyhealthrankings.org

url_echo_facility_webpage(): Get URLs of ECHO reports

url_ejscreenmap(): Get URL(s) for EJScreen map centered at given point(s)

url_ejscreen_report(): Get URLs of EJScreen reports

url_enviromapper(): Get URLs of EnviroMapper reports

url_frs_report(): Get URLs of FRS reports

url_naics.com(): URL functions - url_naics.com - Get URL for page with info about industry sectors by text query term

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 EJAM/EJScreen

Utilities / Misc.

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

dataload_from_pins(): Utility to download / load datasets from pin board

dataload_from_urlpins(): Utility to download / load datasets from pin board in pkgdown github pages of public repo

dataload_from_local(): Load datasets from local disk folder

dataload_from_aws(): Utility to load datasets from AWS DMAP Data Commons, into memory

EJScreen API

EJAM-EJScreen and using the EJScreen API

ejscreenit_for_ejam(): Get EJScreen results directly from EJScreen servers via their API

ejscreenit(): Get EJScreen results near each site, compiled as a table, with map and plot