1.2 The landings data and covariates

The FishForecast package has the following data objects:

  • greeklandings The 1964 to 2007 total landings data multiple species. It is stored as a data frame, not ts object, with a year column, a species column and columns for landings in metric tons and log metric tons.
  • anchovy and sardine A data frame for the landings (in log metric tons) of these species. These are the example catch time series used in the chapters. The data are 1964-2007, however Stergiou and Christou used 1964-1989 and the time series are subsetted to this time period for the examples. These data frames have only year and log.metric.tons columns.
  • anchovyts and sardinets A ts object for the yearly landings (in log metric tons) of these species.
  • anchovy87 and sardine87 A subsetted data frame with Year <= 1987. This is the training data used in Stergiou and Christou.
  • anchovy87ts and sardine87ts A ts object for the yearly landings (in log metric tons) of these species for 1964-1987.
  • ecovsmean.mon and ecovsmean.year The environmental covariates air temperature, pressure, sea surface temperature, vertical wind, and wind speed cubed average monthly and yearly over three 1 degree boxes in the study area. See the chapter on covariates for details.
  • greekfish.cov The fisheries covariates on number of boats, horsepower, and fishers.

Load the data by loading the FishForecast package and use only the 1964-1989 landings. We use subset() to subset the landings data frame. Not window() as that is a function for subsetting ts objects.

require(FishForecast)
## Loading required package: FishForecast
landings89 = subset(greeklandings, Year <= 1989)
ggplot(landings89, aes(x=Year, y=log.metric.tons)) +
  geom_line() + facet_wrap(~Species)