A map interface for exploring multivariate paleoclimate data. DiBiase, D.; Reeves, C.; Alan, M., M.; Krygier, J., B.; von Wyss, M.; Sloan, J.; and Detweiller, M. 1993.
A map interface for exploring multivariate paleoclimate data [pdf]Website  abstract   bibtex   
Paper reviews recent approaches to the display of 3 or more geographically-referenced data variables from statistics, computer graphics, and cartography literature. In comparison, paper describes a method developed for exploring relationships among multivariate paleoclimate data produced by a global circulation model at PSU ESSC. Key features of the interface include 1) display of multivariate data in 2D, planimetrically-correct map formats; 2) optional display of a single map on which up to 3 variables are superimposed or 4 maps among which up to 4 variables are juxtaposed; and 3) the ability to quickly revise data variable selections, to focus on subsets of the data and to experiment with different combinations of point, line and area symbols.
@misc{
 title = {A map interface for exploring multivariate paleoclimate data},
 type = {misc},
 year = {1993},
 source = {Proceedings, Auto-Carto 11},
 keywords = {climate,global,interface design,map use,multivariate maps,process models,visualization},
 websites = {http://www.geovista.psu.edu/publications/1993/DiBiase_Autocarto_93.pdf},
 publisher = {ASPRS & ACSM},
 city = {Minneapolis, MN, 30 Oct. - 1 Nov.},
 id = {2de9bc77-dcbe-3b4f-a12d-9ddf6c8c5d32},
 created = {2018-05-29T14:05:45.697Z},
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 last_modified = {2018-05-29T14:05:45.697Z},
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 hidden = {false},
 citation_key = {13430},
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 notes = {_P_R},
 private_publication = {false},
 abstract = {Paper reviews recent approaches to the display of 3 or more geographically-referenced data variables from statistics, computer graphics, and cartography literature. In comparison, paper describes a method developed for exploring relationships among multivariate paleoclimate data produced by a global circulation model at PSU ESSC. Key features of the interface include 1) display of multivariate data in 2D, planimetrically-correct map formats; 2) optional display of a single map on which up to 3 variables are superimposed or 4 maps among which up to 4 variables are juxtaposed; and 3) the ability to quickly revise data variable selections, to focus on subsets of the data and to experiment with different combinations of point, line and area symbols.},
 bibtype = {misc},
 author = {DiBiase, David and Reeves, C and Alan, M MacEachren and Krygier, J B and von Wyss, M and Sloan, J and Detweiller, M}
}
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