`zone_summary` counts observations and aggregates values in `dat` by regulatory zone or closure area.
Usage
zone_summary(
dat,
spat,
project,
zone.dat,
zone.spat,
dat_lon,
dat_lat,
count = TRUE,
var = NULL,
group = NULL,
fun = NULL,
na.rm = TRUE,
dat_center = TRUE,
plot_type = "dynamic",
output = "plot"
)Arguments
- dat
Primary data containing information on hauls or trips. Table in FishSET database contains the string 'MainDataTable'.
- spat
A spatial data file containing information on fishery management or regulatory zones boundaries. `sf` objects are recommended, but `sp` objects can be used as well. See [dat_to_sf()] to convert a spatial table read from a csv file to an `sf` object. To upload your spatial data to the FishSETFolder see [load_spatial()].
- project
Name of project.
- zone.dat
Name of zone ID column in `dat`.
- zone.spat
Name of zone ID column in `spat`.
- dat_lon
Name of longitude column in `dat`.
- dat_lat
Name of latitude column in `dat`.
- count
Logical. if `TRUE`, then the number observations per zone will be returned. Can be paired with `fun = "percent"` and `group`. `zone_summary` will return an error if `var` is include and `count = TRUE`.
- var
Optional, name of numeric variable to aggregate by zone/closure area.
- group
Name of grouping variable to aggregate by zone/closure area. Only one variable is allowed.
- fun
Function name (string) to aggregate by. `"percent"` the percentage of observations in a given zone. Other options include "sum", "mean", "median", "min", and "max".
- na.rm
Logical, whether to remove zones with zero counts.
- dat_center
Logical, whether the plot should center on `dat` (`TRUE`) or `spat` (`FALSE`). Recommend `dat_center = TRUE` when aggregating by regulatory zone and `dat_center = FALSE` when aggregating by closure area.
- plot_type
Type of plot output; dynamic (`leaflet` object) or static (`ggplot` object)
- output
Output a `"plot"`, `"table"`, or both (`"tab_plot"`). Defaults to `"plot"`.
Details
Observations in `dat` must be assigned to regulatory zones to use this function. See [assignment_column()] for details. `zone_summary` can return: the number of observations per zone (`count = TRUE`, `fun = NULL`, `group = NULL`), the percentage of observations by zone (`count = TRUE`, `fun = "percent"`, `group = NULL`), the percentage of observations by zone and group (`count = TRUE`, `fun = "percent"`, `group = "group"`), summary of a numeric variable by zone (`count = FALSE`, `var = "var"`, `fun = "sum"`, `group = NULL`), summary of a numeric variable by zone and group (`count = FALSE`, `var = "var"`, `fun = "sum"`, `group = "group"`), share (percentage) of a numeric variable by zone (`count = FALSE`, `var = "var"`, `fun = "percent"`, `group = NULL`), share (percentage) of a numeric variable by zone and group (`count = FALSE`, `var = "var"`, `fun = "percent"`, `group = "group"`).
Examples
if (FALSE) { # \dontrun{
# count # of obs
zone_summary(pollockMainTable, spat = nmfs_area, zone.dat = "ZoneID",
zone.spat = "NMFS_AREA")
# percent of obs
zone_summary(pollockMainTable, spat = nmfs_area, zone.dat = "ZoneID",
zone.spat = "NMFS_AREA", count = TRUE, fun = "percent")
# count by group
zone_summary(pollockMainTable, spat = nmfs_area, zone.dat = "ZoneID",
zone.spat = "NMFS_AREA", group = "GEAR_TYPE")
# total catch by zone
zone_summary(pollockMainTable, spat = nmfs_area, zone.dat = "ZoneID",
zone.spat = "NMFS_AREA", var = "OFFICIAL_TOTAL_CATCH_MT",
count = FALSE, fun = "sum")
# percent of catch by zone
zone_summary(pollockMainTable, spat = nmfs_area, zone.dat = "ZoneID",
zone.spat = "NMFS_AREA", var = "OFFICIAL_TOTAL_CATCH_MT",
count = FALSE, fun = "percent")
} # }