Banded choropleth map View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-06

AUTHORS

Yi Du, Lei Ren, Yuanchun Zhou, Jianhui Li, Feng Tian, Guozhong Dai

ABSTRACT

Because of the disability in visualizing statistical data with spatiotemporal information of choropleth map, we propose a novel method banded choropleth map (BCM). This technique makes use of space filling, splits sub-regions with equal width or area, and then fills partitions with different colors. It can utilize limited screen space more sufficiently than small multiples. It can also preserve context more clearly than animation. Based on the technique, we made a formal evaluation to find the efficiency of BCM in doing global task and local task under different factors. More... »

PAGES

503-510

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00779-018-1120-y

DOI

http://dx.doi.org/10.1007/s00779-018-1120-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101518434


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