@article{xie_quantitative_2018,
	title = {Quantitative {Map} {Literacy}: {A} {Cross} between {Map} {Literacy} and {Quantitative} {Literacy}},
	volume = {11},
	issn = {19364660},
	shorttitle = {Quantitative {Map} {Literacy}},
	url = {http://scholarcommons.usf.edu/numeracy/vol11/iss1/art4/},
	doi = {10.5038/1936-4660.11.1.4},
	abstract = {We define quantitative map literacy (QML), a cross between map literacy and quantitative literacy (QL), as the concepts and skills required to accurately read, use, interpret, and understand the quantitative information embedded in a geospatial representation of data on a geographic background. Long used as tools in technical geographic fields, maps are now a common vehicle for communicating quantitative information to the public. As such, QML has potential to stand alongside health numeracy and financial literacy as an identifiable subdomain of transdisciplinary QL.},
	language = {en},
	number = {1},
	urldate = {2019-01-06},
	journal = {Numeracy},
	author = {Xie, Ming and {University of South Florida} and Vacher, H.L. and {University of South Florida} and Reader, Steven and {University of South Florida} and Walton, Elizabeth and {University of South Florida}},
	month = jan,
	year = {2018},
	note = {00000},
}

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