Spatial distributions of variables in marine environmental and fisheries research. Part 1: Geostatistics and autocorrelated environmental and fisheries data
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http://hdl.handle.net/11250/105552Utgivelsesdato
1996Metadata
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The geographical information very often is lost during calculation of
indices for the abundance from surveys. Isoplet diagrams showing the
distribution of both fish abundance and temperature/salinity are usually
produced by hand by skilled personnel. In order to find an objective approach
we explored a new stochastic method for abundance calculation
and isoplet diagram drawing, using the geostatistics presented in this
paper. The potential of geostatistical methods is to analyse the structural
pattern of spatially dependent variables, model it and use it to estimate
the unknown values at the unsampled locations. Moreover it gives
the variance of the estimation error at a location and the variance of the
global estimated value which other methods do not give. At each location
we can store the estimated values of different spatial dependent
variables for the purpose of studying the relationship among them and
presenting graphic plots showing the geographic distribution pattem of
each variable. Furthermore the structural pattem of each variable can be
used to detect the interrelationship among them. This presentation demonstrates
these points with the following data: Temperature, salinity,
bottom depth, and 0-group cod density in the Barents sea.