This package is not in CRAN right now. Just install using devtools and github
devtools::install_github('mbertolacci/bomdata')
This package helps you build a SQLite database of site metadata and rainfall data. It doesn't help you with SQL itself, though there are a few examples in this README to that end.
To initialise a new database, run
db_connection <- DBI::dbConnect(RSQLite::SQLite(), 'bomdata.db')
bomdata::initialise_db(db_connection)
This will give you a blank database, ready to be loaded.
You can load the metadata into the database for a single site like so
bomdata::add_site(db_connection, site_number = 3003)
and then query it like so
site_data <- DBI::dbGetQuery(db_connection, '
SELECT
*
FROM
bom_site
')
print(head(site_data))
You can then add rainfall data by running
bomdata::add_daily_climate_data(db_connection, 3003, type = 'rainfall')
and now you will find its rainfall data in the database
data <- DBI::dbGetQuery(db_connection, '
SELECT
*
FROM
bom_rainfall
WHERE
site_number = 3003
')
print(tail(data))
You can load the metadata and rainfall data for many sites at once by running
bomdata::add_many_sites(db_connection, c(3003, 9031))
site_data <- DBI::dbGetQuery(db_connection, '
SELECT
*
FROM
bom_site
')
print(head(site_data))
A useful facility for listing sites is in the form of listing site numbers in a region, which can be done by running
site_numbers <- bomdata::get_site_numbers_in_region('NSW')
print(head(site_numbers))
The recognised regions are 'AUS', 'WA', 'SA', 'VIC', 'NSW', 'NT', 'QLD', 'TAS', and 'ANT'.
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