Fuzzy Cognitive Mapping Data for Perceptions of Lake Erie Eutrophication: Relationships among Critical Concepts

The current data bring together maps (flowcharts of relationships) created by participants at three workshop series, held in 2009, 2010, and 2013-2014. The maps depict relationships among concepts (+ or -; relationship strength of 1-5 with 5 being strong and 1 being weak) identified as important by workshop participants. Maps were then translated into sparse matrices by project HQP, where the value in Cij represents the strength of the relationship between concepts i and j, which is ith row and jth column of the matrix. The data from each workshop have been combined into an overall consensual fuzzy cognitive map using matrix algebra, depicting a broad understanding of eutrophication in Lake Erie as of 2014. Future workshops are being planned to update this dataset. The updated dataset will allow an assessment of how our understanding of the causes of eutrophication has evolved over time, as well as comparisons of the perceptions of various groups (stakeholders, researchers, etc.).

Identifier
Source https://www.polardata.ca/pdcsearch/PDCSearchDOI.jsp?doi_id=12995
Metadata Access http://www.polardata.ca/oai/provider?verb=GetRecord&metadataPrefix=fgdc&identifier=12995_fgdc
Provenance
Creator Rooney, Rebecca; Ciborowski, Jan; Ives, Jessica
Publisher Canadian Cryospheric Information Network
Contributor Polar Data Catalogue
Publication Year 2019
Rights Research programs, CCIN, or ArcticNet take no liability for the use or transmission of this data
OpenAccess true
Contact gwf-uw(at)uwaterloo.ca; pdc(at)uwaterloo.ca
Representation
Language English
Format Computer file
Discipline Environmental Research
Spatial Coverage (-83.518W, 41.380S, -78.815E, 42.916N)
Temporal Coverage Begin 2009-02-17T00:00:00Z
Temporal Coverage End 9999-12-31T00:00:00Z