test-data: Toy climate data

In cubble: A Vector Spatio-Temporal Data Structure for Data Analysis

Toy climate data

Description

Daily measure (2020-01-01 to 2020-01-10) on precipitation (prcp), maximum temperature (tmax), and minimum temperature (tmin) for 3 melbourne airport stations. stations is the spatial component, (stations_sf as an sf object), meteo has the temporal component (meteo_ts as a tsibble object), climate_flat has both in a single joined table, and climate_mel is the cubble object. See climate_aus on the full dataset.

Usage

stations

stations_sf

meteo

meteo_ts

climate_flat

climate_mel

Format

An object of class tbl_df (inherits from tbl, data.frame) with 3 rows and 6 columns.

An object of class sf (inherits from tbl_df, tbl, data.frame) with 3 rows and 5 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 30 rows and 5 columns.

An object of class tbl_ts (inherits from tbl_df, tbl, data.frame) with 30 rows and 5 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 30 rows and 10 columns.

An object of class spatial_cubble_df (inherits from cubble_df, tbl_df, tbl, data.frame) with 3 rows and 7 columns.

See Also

climate_aus

Examples

cb <- make_cubble(
  spatial = stations, temporal = meteo,
  key = id, index = date, coords = c(long, lat)
)
identical(cb, climate_mel)
cb2 <- climate_flat |> 
  as_cubble(key = id, index = date, coords = c(long, lat))
identical(cb, climate_mel)

cubble documentation built on Sept. 11, 2024, 7:19 p.m.