Indicator-Based Geostatistical Models For Mapping Fish Survey Data

Volume: 50, Issue: 2, Pages: 187 - 208
Published: Feb 1, 2018
Abstract
Marine research survey data on fish stocks often show a small proportion of very high-density values, as for many environmental data. This makes the estimation of second-order statistics, such as the variance and the variogram, non-robust. The high fish density values are generated by fish aggregative behaviour, which may vary greatly at small scale in time and space. The high values are thus imprecisely known, both in their spatial occurrence...
Paper Details
Title
Indicator-Based Geostatistical Models For Mapping Fish Survey Data
Published Date
Feb 1, 2018
Volume
50
Issue
2
Pages
187 - 208
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