frequency distributions by geo-location per species

CFS_freq(
  data,
  freq.label_data = "",
  freq.uid_level = "uid_radius",
  freq.cutoff_year = -999,
  freq.geo_resolution = NULL
)

Arguments

data: meta table from function CFS_format()
freq.label_data: description of data
freq.uid_level: which uid level to count(uid_project, uid_site, uid_tree, uid_meas, uid_sample, uid_radius)
freq.cutoff_year: cut-off year for a subset which series were recorded on or after
freq.geo_resolution: Numeric vector (lon, lat) giving spatial resolution in degrees (e.g., c(5, 3)). If NULL, each value defaults to one quarter of the corresponding coordinate range.

Value

a data table of counts of uid by latitude-longitude per species

Examples



# treated ring measurement
dt.samples_trt <- readRDS(system.file("extdata", "dt.samples_trt.rds", package = "growthTrendR"))
# Compute frequency statistics at radius level
dt.freq <- CFS_freq(
  dt.samples_trt$tr_all_wide,
  freq.label_data = "demo-samples",
  freq.uid_level  = "uid_radius"
)
class(dt.freq)
#> [1] "cfs_freq"