Some spatio-temporal transformation, i.e. glyph maps, uses both spatial
and temporal variables. unfold() allows you to temporarily moves spatial
variables into the long form for these transformations.
unfold(data, ...)
# S3 method for spatial_cubble_df
unfold(data, ...)
# S3 method for temporal_cubble_df
unfold(data, ...)a long cubble object
spatial variables to move into the long form, support tidyselect syntax
a cubble object in the long form
climate_mel |> face_temporal() |> unfold(long, lat)
#> # cubble: key: id [3], index: date, long form
#> # temporal: 2020-01-01 -- 2020-01-10 [1D], no gaps
#> # spatial: long [dbl], lat [dbl], elev [dbl], name [chr], wmo_id [dbl]
#> id date prcp tmax tmin long lat
#> <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 ASN00086038 2020-01-01 0 26.8 11 145. -37.7
#> 2 ASN00086038 2020-01-02 0 26.3 12.2 145. -37.7
#> 3 ASN00086038 2020-01-03 0 34.5 12.7 145. -37.7
#> 4 ASN00086038 2020-01-04 0 29.3 18.8 145. -37.7
#> 5 ASN00086038 2020-01-05 18 16.1 12.5 145. -37.7
#> 6 ASN00086038 2020-01-06 104 17.5 11.1 145. -37.7
#> 7 ASN00086038 2020-01-07 14 20.7 12.1 145. -37.7
#> 8 ASN00086038 2020-01-08 0 26.4 16.4 145. -37.7
#> 9 ASN00086038 2020-01-09 0 33.1 17.4 145. -37.7
#> 10 ASN00086038 2020-01-10 0 34 19.6 145. -37.7
#> # ℹ 20 more rows
climate_mel |> face_temporal() |> unfold(dplyr::starts_with("l"))
#> # cubble: key: id [3], index: date, long form
#> # temporal: 2020-01-01 -- 2020-01-10 [1D], no gaps
#> # spatial: long [dbl], lat [dbl], elev [dbl], name [chr], wmo_id [dbl]
#> id date prcp tmax tmin long lat
#> <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 ASN00086038 2020-01-01 0 26.8 11 145. -37.7
#> 2 ASN00086038 2020-01-02 0 26.3 12.2 145. -37.7
#> 3 ASN00086038 2020-01-03 0 34.5 12.7 145. -37.7
#> 4 ASN00086038 2020-01-04 0 29.3 18.8 145. -37.7
#> 5 ASN00086038 2020-01-05 18 16.1 12.5 145. -37.7
#> 6 ASN00086038 2020-01-06 104 17.5 11.1 145. -37.7
#> 7 ASN00086038 2020-01-07 14 20.7 12.1 145. -37.7
#> 8 ASN00086038 2020-01-08 0 26.4 16.4 145. -37.7
#> 9 ASN00086038 2020-01-09 0 33.1 17.4 145. -37.7
#> 10 ASN00086038 2020-01-10 0 34 19.6 145. -37.7
#> # ℹ 20 more rows