Prepare data in long format — data

Convert spatio-temporal data to long format with indices for time and spatial location.

Usage

data_all(stdata, stnames = c("geometry", "time"))

Arguments

stdata: A stars object containing spatial-temporal dimensions defined in stnames.
stnames: The names of the spatial and temporal dimensions.

Value

A long-format data frame with ids for each observation and for spatial and time indexing.

Examples


library(sfclust)
library(stars)
#> Loading required package: abind
#> Loading required package: sf
#> Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.4.0; sf_use_s2() is TRUE

dims <- st_dimensions(
  geometry = st_sfc(lapply(1:5, function(i) st_point(c(i, i)))),
  time = seq(as.Date("2024-01-01"), by = "1 day", length.out = 3)
)
stdata <- st_as_stars(cases = array(1:15, dim = c(5, 3)), dimensions = dims)

data_all(stdata)
#>    id ids idt       time cases
#> 1   1   1   1 2024-01-01     1
#> 2   2   2   1 2024-01-01     2
#> 3   3   3   1 2024-01-01     3
#> 4   4   4   1 2024-01-01     4
#> 5   5   5   1 2024-01-01     5
#> 6   6   1   2 2024-01-02     6
#> 7   7   2   2 2024-01-02     7
#> 8   8   3   2 2024-01-02     8
#> 9   9   4   2 2024-01-02     9
#> 10 10   5   2 2024-01-02    10
#> 11 11   1   3 2024-01-03    11
#> 12 12   2   3 2024-01-03    12
#> 13 13   3   3 2024-01-03    13
#> 14 14   4   3 2024-01-03    14
#> 15 15   5   3 2024-01-03    15