exposure_estimate_idw: Estimate the pollutant exposure using the inverse distance...

In Spatial-R/EnvExpInd: Environmental Exposure on the Individual Level

Description

Used the pollutant concentration in the individual location as the reference point to estimate the environmental exposure. The pollutant concentration at the refrence point was calculated based on the inverse distance weighting method.

Usage

exposure_estimate_idw(
  individual_data,
  individual_id,
  exposure_date,
  individual_lat,
  individual_lon,
  pollutant_data,
  pollutant_date = "date",
  pollutant_site_lat,
  pollutant_site_lon,
  pollutant_name = c("pm10", "so2"),
  estimate_interval = c(0:30)
)

Arguments

individual_data	data.frame, contains the refrence id, individual_id and exposure_date
individual_id	character,varibale name in individual_data, represents the unique id for each individual
exposure_date	character, varibale name in individual_data, which represents the start date to estimate the environment exposure
individual_lat	character, varibale name in individual_data, represents the latitude information of each idividual
individual_lon	character, varibale name in individual_data, represents the longtitude information of each idividual
pollutant_data	data.frame, contains the pollutant and site informatin. One column represents the site information and other columns represent the concentration of pollutants
pollutant_date	character, varibale name represents the date infromation for the air pollutant dataset
pollutant_site_lat	character, varibale name in pollutant_data, includes the latitude information of each monitoring site
pollutant_site_lon	character, varibale name in pollutant_data, includes the longtitude information of each monitoring site
pollutant_name	vector, pollutant name in the pollutant_data, which represent the name of the target pollutants to be estimated
estimate_interval	continue numeric vector, the estimation period, for example: 0:30, for each individual we estimate the environment exposure ranging from the exposure_date to exposure_date + 30 days

Value

A list. For each element in the list, there is a dataframe with the first column representing the individual id, the remaining columns represent the exposure estimation in different time points.

Author(s)

Bing Zhang, https://github.com/Spatial-R/EnvExpInd

Examples

library(EnvExpInd)
individual_data$date <- as.Date(individual_data$date)
pollutant_data$date <- as.Date(pollutant_data$date)
pollutant_data_full <- timeseries_imput(data= pollutant_data,date_var = "date",
site_var = "site.name",imput_col = 3:8)
pollutant_data_tem <- merge(pollutant_data_full,site_data,by.x = "site.name",by.y = "site")
exposure_estimate_idw(
   individual_data = individual_data,
   individual_id = "id",
   exposure_date ="date",
   individual_lat ="lat",
   individual_lon ="lon",
   pollutant_data = pollutant_data_tem,
   pollutant_date = "date",
   pollutant_site_lat = "lat",
   pollutant_site_lon = "lon",
   pollutant_name = c("PM10","PM2.5"),
   estimate_interval = c(0:10))

Spatial-R/EnvExpInd documentation built on Oct. 24, 2020, 1:44 a.m.