shan: PM2.5 Data of Shanghai

In slm: Stationary Linear Models

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.

slm documentation built on Aug. 31, 2020, 5:11 p.m.