Visualizing and comparing multivariate scalar data over a geographic map.

cartography;hexagonal grids;visualization

Ramachandran, Karthik ; Dr. Christopher Healey, Committee Chair,Dr. Robert St. Amant, Committee Member,Dr. Ben Watson, Committee Member,Ramachandran, Karthik ; Dr. Christopher Healey ; Committee Chair ; Dr. Robert St. Amant ; Committee Member ; Dr. Ben Watson ; Committee Member

University:North Carolina State University

关键词: cartography;    hexagonal grids;    visualization;   

Others  :  https://repository.lib.ncsu.edu/bitstream/handle/1840.16/342/etd.pdf?sequence=1&isAllowed=y

美国|英语

来源: null

【 摘 要 】

Recent technological advances and innovations have given us ways toeasily and quickly extract large sets of data, but the increasingamounts of raw information only highlight the lack of goodvisualization or pattern recognition techniques to interpret the data.The objective of the research is to build techniques to effectivelyvisualize multivariate scalar entities over a topographical map. Ourgoals are; a. rapid interpretation of the magnitude of a scalar entityat a particular spatial location; b. rapid comparison of themagnitudes of different scalar entities ; c. rapid comparison of thescalar entities across different regions of the map. Based on pastresearch, I chose to investigate creating a texture of symmetricalunits called texels. Each texel contains a fixed number ofcolor-mapped hexagonal blocks representing each scalar entity. Userscan dynamically choose the static variables to be visualized and thesize of the texels. The research started as an experiment to visualizethe United States Election results to represent the degree ofvariation in the results and the votes shared among the contestants.In addition to the election data my technique has also been appliedto the United States census data, geographical and meteorological datato highlight interesting results.