calculate_ecat: Calculate ECAT exposure estimates at specific locations.

In erikarasnick/ecat: Calculate Estimates of ECAT Exposure at Point Locations in the Cincinnati, OH Area

Description

calculate_ecat() uses a land use regression model developed by Dr. Patrick Ryan based on ambient air sampling in Cincinnati, OH between 2001 and 2005 to estimate exposure to elemental carbon attributable to traffic (ECAT) at point locations in the area specified by latitude and longitude. The model predictors include elevation, truck traffic within 400 meters, and length of bus routes within 100 meters. Returned ECAT values are in micrograms per cubic meter.

Usage

calculate_ecat(locations, return.LU.vars = FALSE)

Arguments

locations	Data.frame with columns 'id', 'lat', and 'lon' at minimum.
return.LU.vars	When return.LU.vars = TRUE, the land use predictors used to generate the ECAT values are also returned.

Details

ECAT will be missing if point is outside the 7-county area (OH: Hamilton, Butler, Warren, Clermont; KY: Campbell, Kenton, Boone)

Value

If 'return.LU.vars' = 'FALSE', a numeric vector of ECAT estimates (ug/m3) is returned. If 'return.LU.vars' = 'TRUE', the 'locations“ data.frame with additional columns for E CAT values and the land use predictors used to generate the ECAT values is returned.

References

Ryan, P.H., G.K. LeMasters, P. Biswas, L. Levin, S. Hu, M. Lindsey, D.I. Bernstein, J. Lockey, M. Villareal, G.K. Khurana Hershey, and S.A. Grinshpun. 2007. "A Comparison of Proximity and Land Use Regression Traffic Exposure Models and Wheezing in Infants." Environmental Health Perspectives 115(2): 278-284. https://doi.org/10.1289/ehp.9480

Examples

my_data <- data.frame(id = 1:3,
    lat = c(39.19674, 39.12731,	39.28765),
    lon = c(-84.58260, -84.52700, -84.51017))

ecat_est <- calculate_ecat(my_data, return.LU.vars = FALSE)
ecat_est <- calculate_ecat(my_data, return.LU.vars = TRUE)

erikarasnick/ecat documentation built on May 12, 2020, 9:11 p.m.