Description Usage Format Details Source See Also Examples
A dataset containing the meteorological data of Vietnam collected per month
from 69 climatic stations, from January 1960 to December 2017. Two versions
exist in this package, meteo_r
is the tidy version of the raw data and
meteo
is the tidy, clean version of the raw data, with the temperatures
were checked and adjusted if necessary. Additionnally, aggregates of these
climatic variables by the province definition of the most recent period
(starting in 2008) are avaiable from 2008 to 2017 in meteo_intagg_2008_2017
.
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A data frame with 37,848 rows and 10 variables:
year
: year of collection
month
: month of collection (ordered factor)
station
or province
: name of the climatic station (for
meteo
and meteo_r
) or the province (for /code meteo_intagg_2008_2017)
Ta
: monthly average of the daily average temperatures
(in centigrad)
Tx
: monthly average of the daily maximal temperatures
(in centigrad)
Tm
: monthly average of the daily minimal temperatures
(in centigrad)
Rf
: monthly cumulative rainfall (in mm)
aH
: monthly average of absolute humidity (in g/m3)
rH
: monthly average of relative humidity (in %)
Sh
: monthly cumulative number of hours of sunshine
The variable station
is a key shared with dataset stations
.
The variable province
is a key shared with the most recent polygon
definitions of the provinces of Vietnam gadmVN::gadm()$province
. The
aggregated data are generated by interpolation and aggregation weighted by the
local population density, using the 2009 data from
WorldPop. The method used is detailed
here.
Note that values of relative humidity calculated to be higher than 100 are
set to 100 and that values of absolute and relative humidities as well as
rainfall and hours of sunshine calculated to be negative are set to 0.
Thai P.Q. et al. (2015) Seasonality of absolute humidity explains seasonality of influenza-like illness in Vietnam. Epidemics 13: 65-73. [PDF]
The stations
dataset that shares the variable
station
with meteo
.
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