Summarize variable over data and time

View summary and exploratory statistics of selected variable by date and zone.

Usage

spatial_summary(
  dat,
  project,
  stat.var = c("length", "no_unique_obs", "perc_total", "mean", "median", "min", "max",
    "sum"),
  variable,
  spat,
  lon.spat = NULL,
  lat.spat = NULL,
  lon.dat = NULL,
  lat.dat = NULL,
  cat
)

Arguments

dat

Primary data containing information on hauls or trips. Table in FishSET database contains the string 'MainDataTable'.

project

String, name of project.

stat.var

Options are "length", "no_unique_obs", "perc_total", "mean", "median", "min", "max", and "sum".

variable

Variable in dat to summarize over date and zone.

spat

Spatial data containing information on fishery management or regulatory zones. Shape, json, geojson, and csv formats are supported. Leave as NULL if the variable ‘ZoneID’ assigning observations to zones exists in dat.

lon.spat

Variable or list from spat containing longitude data. Required for csv files. Leave as NULL if spat is a shape or json file or if the variable ‘ZoneID’ exists in dat.

lat.spat

Variable or list from spat containing latitude data. Required for csv files. Leave as NULL if spat is a shape or json file, or if the variable ‘ZoneID’ exists in dat.

lon.dat

Longitude variable in dat. Leave as NULL if the variable ‘ZoneID’ (zonal assignment) exists in dat.

lat.dat

Latitude variable in dat. Leave as NULL if the variable ‘ZoneID’ (zonal assignments) exists in dat.

cat

Variable or list in spat that identifies the individual areas or zones. If spat is class sf, cat should be name of list containing information on zones. Leave as NULL if the variable ‘ZoneID’ exists in dat.

Value

Returns two plots, the variable aggregated by stat.var plotted against date and against zone.

Details

stat.var details:

length:	Number of observations	no_unique_obs:	Number of unique observations
perc_total:	Percent of total observations	mean:	Mean
median:	Median	min:	Minimum
max:	Maximum	sum:	Sum

Examples