China_Month: A monthly climatic dataset of China
In Airpino/HistDAWass: Histogram-Valued Data Analysis
China_Month R Documentation
A monthly climatic dataset of China
Description
A dataset with the distributions of some climatic variables collected for each month in 60 stations of China.
The collected variables are 168 i.e. 14 climatic variables observed for 12 months. The 14 variables are the following:
mean station pressure (mb), mean temperature, mean maximum temperature, mean minimum temperature,
total precipitation (mm), sunshine duration (h), mean cloud amount (percentage of sky cover),
mean relative humidity (
mean wind speed (m/s), dominant wind frequency (
extreme minimum temperature.
Use the command get.MatH.main.info(China_Month) for rapid info.
Format
a MatH object, a matrix of distributions.
Author(s)
Antonio Irpino, 2014-10-05
Source
raw data are available here: https://data.ess-dive.lbl.gov/view/doi:10.3334/CDIAC/CLI.TR055
Airpino/HistDAWass documentation built on Jan. 30, 2024, 7:53 p.m.
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| China_Month | R Documentation |
A monthly climatic dataset of China
Description
A dataset with the distributions of some climatic variables collected for each month in 60 stations of China.
The collected variables are 168 i.e. 14 climatic variables observed for 12 months. The 14 variables are the following:
mean station pressure (mb), mean temperature, mean maximum temperature, mean minimum temperature,
total precipitation (mm), sunshine duration (h), mean cloud amount (percentage of sky cover),
mean relative humidity (
mean wind speed (m/s), dominant wind frequency (
extreme minimum temperature.
Use the command get.MatH.main.info(China_Month) for rapid info.
Format
a MatH object, a matrix of distributions.
Author(s)
Antonio Irpino, 2014-10-05
Source
raw data are available here: https://data.ess-dive.lbl.gov/view/doi:10.3334/CDIAC/CLI.TR055
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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