GlamMap: Geovisualization for e-humanities. Castermans, T., Speckmann, B., Verbeek, K., Westenberg, M., Betti, A., & van den Berg, H. In 2016 Workshop on Visualization for the Digital Humanities, Baltimore, 2016.
GlamMap: Geovisualization for e-humanities [pdf]Paper  abstract   bibtex   
Abstract—This paper presents GlamMap, a visualization tool for large, multi-variate georeferenced humanities data sets. Our approach visualizes the data as glyphs on a zoomable geographic map, and performs clustering and data aggregation at each zoom level to avoid clutter and to prevent overlap of symbols. GlamMap was developed for the Galleries, Libraries, Archives, and Museums (GLAM) domain in cooperation with researchers in philosophy. We demonstrate the usefulness of our approach by a case study on history of logic, which involves navigation and exploration of 7100 bibliographic records, and scalability on a data set of sixty million book records.
@inproceedings{castermans_glammap:_2016,
	address = {Baltimore},
	title = {{GlamMap}: {Geovisualization} for e-humanities},
	url = {http://vis4dh.com/papers/GlamMap%20Geovisualization%20for%20e-Humanities.pdf},
	abstract = {Abstract—This paper presents GlamMap, a visualization tool for large, multi-variate georeferenced humanities data sets. Our approach visualizes the data as glyphs on a zoomable geographic map, and performs clustering and data aggregation at each zoom level to avoid clutter and to prevent overlap of symbols. GlamMap was developed for the Galleries, Libraries, Archives, and Museums (GLAM) domain in cooperation with researchers in philosophy. We demonstrate the usefulness of our approach by a case study on history of logic, which involves navigation and exploration of 7100 bibliographic records, and scalability on a data set of sixty million book records.},
	booktitle = {2016 {Workshop} on {Visualization} for the {Digital} {Humanities}},
	author = {Castermans, Thom and Speckmann, Bettina and Verbeek, Kevin and Westenberg, Michel and Betti, Arianna and van den Berg, Hein},
	year = {2016},
}
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