add_scaled_ecat: Calculate temporally scaled ECAT exposure estimates at...

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

Description

add_scaled_ecat() is a wrapper function that estimates ECAT exposures at provided locations by calling calculate_ecat(), then temporally scales those estimates using scaling factors computed by calling calculate_scaling_factors(). This function is particularly useful for calculating exposures at the same locations on different dates.

Usage

add_scaled_ecat(locations)

Arguments

locations

Data.frame with columns 'id', 'lat','lon', 'start_date', and 'end_date' at minimum.

Value

A numeric vector of ECAT estimates (ug/m3).

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 = rep(1,3),
    lat = c(39.19674, 39.19674,	39.19674),
    lon = c(-84.58260, -84.58260, -84.58260),
    start_date = as.Date(c("2010-01-08", "2012-06-08", "2015-04-09")),
    end_date = as.Date(c("2010-02-08", "2012-07-08", "2015-05-09")))

ecat_scaled <- add_scaled_ecat(my_data)

geomarker-io/ecat documentation built on May 15, 2020, 5:58 p.m.