Summarize Seascape grids into a table having columns: date, cellvalue (ie
CLASS) and number of cells (n_cells).
sum_ss_grds_to_ts(grds, ts_csv = NULL, verbose = F)raster stack with more than one date, as returned by
get_ss_grds
path to csv to save this time series table. Default is NULL, in
which case the table is not saved. If path is set and already exists then
that will be read in if all dates in the grds are present instead of
recalculating and writing to ts_csv.
show messages of process. Useful for debugging. Default: FALSE.
tibble of data
This function is particularly helpful in between using get_ss_grds() and
plot_ss_ts().
ply <- get_url_ply("mbnms")
ss_i <- get_ss_info()
grds <- get_ss_grds(ss_i, ply, date_beg = "2020-01-01")
tbl <- sum_ss_grds_to_ts(grds)
tbl
#> # A tibble: 192 × 3
#> date cellvalue n_cells
#> <date> <int> <int>
#> 1 2020-01-15 7 2
#> 2 2020-01-15 12 31
#> 3 2020-01-15 14 565
#> 4 2020-01-15 21 2
#> 5 2020-01-15 NA 1368
#> 6 2020-02-15 14 547
#> 7 2020-02-15 19 11
#> 8 2020-02-15 21 44
#> 9 2020-02-15 NA 1366
#> 10 2020-03-15 7 3
#> # … with 182 more rows