Random points in USA - average resident, facility, BG, block, or square mile
Source:R/testpoints_n.R
testpoints_n.RdGet data.table of Random Points (lat lon) for Testing/ Benchmarking/ Demos, weighted in various ways. The weighting can be specified so that each point reflects the average EPA-regulated facility, blockgroup, block, place on the map, or US resident.
Usage
testpoints_n(
n = 10,
weighting = c("frs", "pop", "area", "bg", "block"),
region = NULL,
ST = NULL,
validonly = TRUE,
dt = TRUE
)Arguments
- n
Number of points needed (sample size)
- weighting
word indicating how to weight the random points (some synonyms are allowed, in addition to those shown here):
Note the default is frs, but you may want to use pop even though it is slower.
pop or people (slow) = Average Person: random person among all US residents (block point of residence per 2020 Census)
frs or facility = Average Facility: random EPA-regulated facility from actives in Facility Registry Service (FRS)
bg = Average Blockgroup: random US Census block group (internal point like a centroid)
block = Average Block: random US Census block (internal point like a centroid)
area or place = Average Place: random point on a map (internal point of avg blockgroup weighted by its square meters size)
- region
optional vector of EPA Regions (1-10) to pick from only some regions.
- ST
optional, can be a character vector of 2 letter State abbreviations to pick from only some States. #' @examples mapfast(testpoints_n(300, ST = c('LA','MS')) )
- validonly
return only points with valid lat/lon coordinates. Defaults to TRUE.
- dt
logical, whether to return a data.table (DEFAULT) instead of normal data.frame