Application of Geostatistics to analyse spatially explicit Survey data in an Ecosystem Approach

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General information

The application of geostatistics to fisheries survey data is now a well accepted method of estimating fish stock abundances and its precision. However, geostatistics are still not routinely used and there is a need for training in appropriate methods and software. In 2011, the ICES Working Group on Fisheries Acoustic Science and Technology (WGFAST) recommended that an ICES course was developed in cross cutting methodologies of geostatistics to support scientists in research and monitoring topics such as acoustic, icthyoplankton and bottom trawl surveys.

To fulfil the EU Marine Strategy Framework Directive (MFSD) member states are obliged to monitor the state of their shelf sea ecosystems. Geostatistical methods to characterize spatial distributions of species and habitats and to produce maps from surveys series are keys to identify changes over time.

​Instructor: Pierre Petitgas, IRFEMER, France

Objective:

The objective of the course is to provide a thorough grounding in the use of geostatistical methods to analyse spatially geo-referenced survey data. Students will be guided through the different steps of geostatistical analyses based on case studies. 

Contact Person: Anna Davies (ICES Training Coordinator) (anna.davies@ices.dk)

Content

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Venue

Venue: ParisTech
Paris, France

Centre de Geosciences Mines 
35 rue Saint Honoré 77305 Fontainebleau

Application


Click here to apply: http://admin.ices.dk/Training/

Cost:

750€ for ICES member country affiliated participants.

1.250€ for non-member country affiliated participants.


Prerequisites:

The course is mainly targeted at individuals who are new to geostatistical methods. However, examples of advanced methods are given to benefit researchers already familiar with geostatistical method who wish to further improving their skills and understanding.


Application Procedure:

Please use the on-line registration form

Application deadline: 27 October 2014

Qualification

Academic level: Master, PhD, Lifelong Learning
Occupations (not validated):
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