Cartographic techniques for communicating class separability: enhanced choropleth maps of median household income, Iowa

Min Sun; Barry J. Kronenfeld; David W. Wong

doi:10.1080/17445647.2013.768183

Cartographic techniques for communicating class separability: enhanced choropleth maps of median household income, Iowa

Min Sun, Barry J. Kronenfeld, David W. Wong

Eastern Illinois University

George Mason University

Producción científica › revisión exhaustiva

Idioma original	American English
Publicación	Journal of Maps
Volumen	9
DOI	https://doi.org/10.1080/17445647.2013.768183
Estado	Published - mar 1 2013

Disciplines

Geography

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10.1080/17445647.2013.768183Licencia: Unspecified

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https://www.tandfonline.com/doi/abs/10.1080/17445647.2013.768183

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title = "Cartographic techniques for communicating class separability: enhanced choropleth maps of median household income, Iowa",

author = "Min Sun and Kronenfeld, \{Barry J.\} and Wong, \{David W.\}",

note = "Abstract In mapping population characteristics, data are usually portrayed as accurate without error. However, many population datasets provide estimates derived from surveys or samples, and a certain level of uncertainty is associated with each estimate. Ignoring estimated uncertainty information in mapping may produce misleading maps and generate spurious spatial patterns.",

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doi = "10.1080/17445647.2013.768183",

language = "American English",

volume = "9",

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AU - Sun, Min

AU - Kronenfeld, Barry J.

AU - Wong, David W.

N1 - Abstract In mapping population characteristics, data are usually portrayed as accurate without error. However, many population datasets provide estimates derived from surveys or samples, and a certain level of uncertainty is associated with each estimate. Ignoring estimated uncertainty information in mapping may produce misleading maps and generate spurious spatial patterns.

PY - 2013/3/1

Y1 - 2013/3/1

UR - https://www.tandfonline.com/doi/abs/10.1080/17445647.2013.768183

U2 - 10.1080/17445647.2013.768183

DO - 10.1080/17445647.2013.768183

M3 - Article

VL - 9

JO - Journal of Maps

JF - Journal of Maps

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