gamair (version 0.0-9)

mack: Egg data from 1992 mackerel survey

Description

The data relate to the distribution of mackerel eggs and were collected as part of the 1992 mackerel survey aimed at assessing the mackerel spawning stock biomass using the daily egg production method.

Usage

data(mack)

Format

A data frame with 16 columns. Each row corresponds to one sample of eggs.

• egg.countThe number of stage I eggs in this sample.
• egg.densThe number of stage I eggs per square metre of sea surface, produced per day. This is calculated from egg.count and other information about sampling net size, and egg stage duration.
• b.depthThe sea bed depth at the sampling location.
• c.distThe distance from the sample location to the 200m contour measured in degrees as if degrees latitude equalled degrees longitude, which actually they don't.
• lonThe longitude of the sample station in degrees east.
• latThe latitude of the sample station in degrees north.
• timeThe time of day (in hours) at which the sample was taken.
• salinityThe salinity (saltiness) of the water at the sampling location.
• flowReading from the flow meter attached to the sampling net - used for calibration.
• s.depthThe depth that the sampling net started sampling from (the net is dropped to this depth and then hauled up to the surface, filtering eggs etc out of the water as it goes).
• temp.surfThe temperature at the sea surface at the sampling location.
• temp.20mThe temperature 20m down at the sampling location.
• net.areaThe area of the sampling net in square metres.
• countryA code identifying the country responsible for the boat that took this sample.
• vesselA code identifying the boat that took this sample.
• vessel.haulA code uniquely identifying this sample, given that the vessel is known.

Source

The data are effectively a combination of datasets mackerel and smacker from the sm library. They were originally analyzed using GAMs by: Borchers, D.L., S.T. Buckland, I.G. Priede and S. Ahmadi (1997) "Improving the precision of the daily egg production method using generalized additive models". Can. J. Fish. Aquat. Sci. 54:2727-2742.

Details

At each of a number of stations located as defined in lon and lat, mackerel eggs were sampled by hauling a fine net up from deep below the sea surface to the sea surface. The egg count data are obtained from the resulting samples, and these have been converted to (stage I) eggs produced per metre squared per day - the egg density data. Other possibly useful predictor variable information has been recorded, along with identification information, and some information that is probably useless!

Examples

data(mack)
# plot the egg densities against location
plot(mack$lon,mack$lat,cex=0.2+mack$egg.dens/150,col="red")