Nash equilbrium code

The dataset is a code written to compare the non-cooperative, and fully-cooperative solutions in the context of fishery management in the Falkland Islands and South America

Data and Resources

Additional Info

Field Value
Last Updated December 21, 2020, 10:10 (PST)
Created January 30, 2020, 05:25 (PST)
Region Falkland Islands
Language eng
Topic Category Economy; economic activities, conditions and employment
Temporal Extent Start 2019-01-01
Temporal Extent End 2019-05-31
Dataset Reference Date 2019
Lineage Code generates results that estimates : (i) ) The profits of the South American, Falkland Island and high seas (where applicable) fleets; (ii) The impact of the distant water fleet on stocks in South American and Falkland Islands waters ; and (iii) The population connectivity between South American waters and Falkland Islands waters by stock movement. This allows the definition of various solution concepts, specifically we compare the non-cooperative, and fully-cooperative solutions.
West Longitude -61.59714096975
South Latitude -53.0153705212499
East Longitude -57.5426237568499
North Latitude -50.9103237939499
Spatial Reference System WGS84
Responsible Organisation Name Hidden (personal data protection)
Contact Mail Address Hidden (personal data protection)
Responsible Party Role Hidden (personal data protection)
Access Limitations Open access
Use Constraints Open, but copyright and/or Intellectual Property Rights apply
Resource Reference Cite data source as: Harte M, J Watson. 2019. Closing the gap: Adding value to Falkland Island fisheries through the collective management of shared fish stocks. South Atlantic Environmental Research Institute, Stanley Falkland Islands
Data Format py
Update Frequency one off
Accuracy Mostly accurate
Resource Type Not Geographical data
Original Title Hidden (internal use only)
Metadata Date 2019-05-26
Metadata Point of Contact
Contact Consent Contact details hidden
Unique Resource ID FK-SAERI-556

Dataset extent

Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under CC BY SA.