navigating spatial data management and analysis in

Navigating spatial data management and analysis in sustainable

fisheries using a combined R – Python approach

Annette Scheffer, Francis Neat, Peter Hair, Marcus Nelson, Robert Lefebure, Ashleigh Arton, Catherine S. Longo

useR! conference, Toulouse 9 - 12 July 2019

Marine Stewardship Council

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Worldwide sustainable fisheries certification since 1997

Safeguard seafood for this & future generations

Use market demand for ecolabel to incentivise sustainable fishing

Marine Stewardship Council – Data collection

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Auditor

Certification Report

MSC

Marine Stewardship Council – Data collection

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Auditor

Certification Report

MSC

Certification dataData warehouse

Spatial dataSpatial database

MSC spatial data – point locations

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MSC spatial data – fishing & stock areas

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Certificate holder locationswith species, gear andcatch amount

Stock distribution for target species

Fishing areas associated with certificates

User groups at MSC

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Science & Standards

Chain of Custody Licencing Outreach

Strategic research teamR coding – beginner / intermed.

Data & analysis team R & Python coding

Other teamsSoftware use

MSC organisation – multiple departments – different software / coding proficiency

Spatial database – data input

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1 – data inputMSC data warehouse

R

R - Python

SQL Server

PostgreSQL

Spatial database – user interactions

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1 – data inputMSC data warehouse

R

2 – user interactions

Built-in qGIS

functions

Custom R scripts stored + called in qGIS

Custom qGIS

plugins

qGIS

R

R - Python

SQL Server

PostgreSQL

Python@ qGISplugin builder

Spatial database – user interactions

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1 – data inputMSC data warehouse

R

2 – user interactions

Built-in qGIS

functions

Custom R scripts stored + called in qGIS

R scripting by

users

Custom qGIS

plugins

qGIS

R

R - Python

SQL Server

PostgreSQL

Python@ qGISplugin builder

R or Python called through R @RQGIS package

Spatial database - organisation

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1 – data inputMSC data warehouse

R

R - Python

SQL Server

PostgreSQLRPython

RQGIS package

Access qGIS Python geoprocessing functionalities from R

Execute R scripts in qGIS:Statistical analyses (without qGIS geoprocessing functionalities)

qGIS

Spatial database - organisation

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1 – data inputMSC data warehouse

R

R - Python

SQL Server

PostgreSQLRPython

RQGIS package

Access qGIS Python geoprocessing functionalities from R

Execute R scripts in qGIS:Statistical analyses (without qGIS geoprocessing functionalities)

qGISplugin builder

Python scripting in qGIS plugin builder

qGIS

-qGIS Dissolve→ “Developing Word” layer

Spatial database – automated processes examples – qGIS plugins through Python programming

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UN FAO Major Fishing Areas Large Marine Ecosystems

• match fishing areas + attributes with external spatial layers• fishing areas & companies per FAO area, per stock etc• calculate stocks (number & areas) untouched by MSC fisheries • overlay MSC developing countries layer • create buffers

www.msc.org

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Annette.Scheffer@msc.org

Thank you – Questions?

www.msc.org

@MSCecolabel

www.msc.org

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Annette.Scheffer@msc.org

Thank you – Questions?

www.msc.org

@MSCecolabel