Description Usage Arguments Value Note Note Examples
Download data on brazilian annual average rainfall according to CAMARILLO-NARANJO et al (2019). Data are available at "globalclimatemonitor.org". The output values refer to the geographical average of the values for each spatial unit (municipality, state or country)
1 | get_rainfall(level = "municipality", panel = FALSE)
|
level |
The geographic level of interest. This opition can be ("country", "state", or "municipality") |
panel |
Use panel = TRUE if you want to download the database in a panel data format and panel = FALSE otherwise. The default value is FALSE |
YCNTRD |
The centroid longitude coordinate of the geographical area of interest. |
XCNTRD |
The centroid latitude coordinate of the geographical area of interest. |
CD_GEOCMU |
Municipality identification code according to the Brazilian Institute of Geography and Statistics (IBGE). This variable will not appear if you choose the option level = "country" or level = "state". |
sigla.state |
The state name abbreviation. This variable will not appear if you choose the option level = "country" or level = "municipality". |
code.state |
The state identification code according to the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatistica - IBGE). This variable will not appear if you choose the option level = "country" or level = "municipality". |
NM_MUNICIP |
The name of each municipality. This variable not appear if you choose the option level = "state" or level = "country". |
country |
The country name. This variable will not appear if you choose the option level = "state" or level = "municipality". |
PREC_year |
The annual average rainfall (mm) between 1901 and 2019. These variables will not appear if you choose the option level = "state" or level = "country". |
rainfall |
The annual average rainfall (mm) when you choose the option panel = TRUE. |
Please, cite https://www.globalclimatemonitor.org/.
Please, cite CAMARILLO-NARANJO, Juan Mariano et al. The global climate monitor system: from climate data-handling to knowledge dissemination. International journal of digital earth, v. 12, n. 4, p. 394-414, 2019.
1 | my_df <- get_rainfall(level = "state", panel = FALSE)
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