@article{
 title = {Visualizing uncertain information},
 type = {article},
 year = {1992},
 keywords = {data model,focus,graphic variables,map use,saturation,symbolization,visualization,\textdagger uncertainty},
 websites = {http://www.geovista.psu.edu/publications/MacEachren/maceachren_uncertainty_CP1992.pdf},
 id = {d597a57a-1e7a-3f00-b917-845a9f3401eb},
 created = {2018-05-29T14:05:25.642Z},
 file_attached = {false},
 profile_id = {6d8d7993-9618-3f6c-983a-9f6761313797},
 group_id = {4f1d95d1-59ee-3ce8-85ce-055cfae2da74},
 last_modified = {2018-05-29T14:05:25.642Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {13111},
 source_type = {article},
 private_publication = {false},
 abstract = {When a GIS is used to drive map-based visualization, exploration of potential relationships takes precedence over presentation of facts. In these early stages of scientific analysis or policy formulation, providing a way for analysts to assess uncertainty in the data they are exploring is critical to the perpectives they form and the approaches they decide to pursue. As a basis from which to develop methods for visualizing uncertain information, this paper addresses the difference between data quality and uncertainty, the application of Bertin\textquoterights graphic variables to the representation of uncertainty, conceptual models of spatial uncertainty as they relate to kinds of cartographic symbolization, and categories of user interfaces suited to presenting data and uncertainty about that data. Also touched on in the issue of how we might evaluate our attempts to depict uncertain information on maps.},
 bibtype = {article},
 author = {Alan, M MacEachren},
 journal = {Cartographic PerspectivesCartographic perspectives}
}

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