muc_airPol_p1_grid: muc_airPol_p1_grid
In maxikellerbauer/stAirPol: Spatio-temporal Modelling of Air Pollution Data
Description
Usage
Format
Examples
Description
A dataset which contains a grid with covariables in
Munich December 2017 for predictions of PM10.
Usage
1
Format
A data table with 129828 rows and 12 variables:
- lon
longitudinal value of the position
- lat
latitudinal value value of the position
- humi
humiditiy in percent
- timestamp
timestamp rounded down
- temp
temperature in degree Celsius
- rain
rain in millimeters
- rainhist
transformed historical rain
- wind
wind velocity in m/s
- windhist
transformed historical wind
- trafficvol
calculated trafficvolumne
- sensor_id
numeric sensor_id
- sensor_age
sensor age in weeks
Examples
1
maxikellerbauer/stAirPol documentation built on May 3, 2019, 3:16 p.m.
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Description Usage Format Examples
Description
A dataset which contains a grid with covariables in Munich December 2017 for predictions of PM10.
Usage
1 |
Format
A data table with 129828 rows and 12 variables:
- lon
longitudinal value of the position
- lat
latitudinal value value of the position
- humi
humiditiy in percent
- timestamp
timestamp rounded down
- temp
temperature in degree Celsius
- rain
rain in millimeters
- rainhist
transformed historical rain
- wind
wind velocity in m/s
- windhist
transformed historical wind
- trafficvol
calculated trafficvolumne
- sensor_id
numeric sensor_id
- sensor_age
sensor age in weeks
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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