| shan {slm} | R Documentation |
PM2.5 Data of Shanghai
Description
This dataset comes from a study about fine particle pollution in five Chinese cities. The data are available on the following website https://archive.ics.uci.edu/ml/datasets/PM2.5+Data+of+Five+Chinese+Cities#. The present dataset concerns the city of Shanghai. From the initial dataset, we have removed the lines that contain NA observations and we then extract the first 5000 observations. Then we consider only pollution variables and weather variables.
Usage
data("shan")
Format
A data frame with 5000 rows and 10 variables:
- PM_Xuhui
PM2.5 concentration in the Xuhui district (
ug/m3).- PM_Jingan
PM2.5 concentration in the Jing’an district (
ug/m3).- PM_US.Post
PM2.5 concentration in the U.S diplomatic post (
ug/m3).- DEWP
Dew Point (
Celsius Degree).- TEMP
Temperature (
Celsius Degree).- HUMI
Humidity (%).
- PRES
Pressure (
hPa).- Iws
Cumulated wind speed (
m/s).- precipitation
hourly precipitation (
mm).- Iprec
Cumulated precipitation (
mm).
References
E. Caron, J. Dedecker and B. Michel (2019). Linear regression with stationary errors: the R package slm. arXiv preprint arXiv:1906.06583. https://arxiv.org/abs/1906.06583.
X. Liang, S. Li, S. Zhang, H. Huang, S.X. Chen (2016). PM2.5 data reliability, consistency, and air quality assessment in five Chinese cities. Journal of Geophysical Research: Atmospheres, 121(17), 10–220.