Summarize grids with a continuous variable into a time series table

Summarize grids into a table having columns: date, cellvalue (e.g. Seascape CLASS) and number of cells (n_cells).

grds_to_ts(grds, fxns = c("mean", "sd"), ts_csv = NULL, verbose = F)

Arguments

grds: raster stack with more than one date, as returned by get_ss_grds
ts_csv: 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.
verbose: show messages of process. Useful for debugging. Default: FALSE.

Value

tibble of data

Details

This function is particularly helpful in between using get_ed_grds() and plot_ts_cat().

Examples

ply  <- get_url_ply("mbnms")
#> Error in dir_create(dir_ply): could not find function "dir_create"
ss_i <- get_ss_info()
#> Error in get_ss_info(): could not find function "get_ss_info"
grds <- get_ss_grds(ss_i, ply, date_beg = "2020-01-01")
#> Error in get_ss_grds(ss_i, ply, date_beg = "2020-01-01"): could not find function "get_ss_grds"
tbl  <- sum_ss_grds_to_ts(grds)
#> Error in sum_ss_grds_to_ts(grds): could not find function "sum_ss_grds_to_ts"
tbl
#> Error in eval(expr, envir, enclos): object 'tbl' not found