Name profiler toolkit

Feng Wang; Brett Hansen; Ryan Simmons; Ross Maciejewski

doi:10.1109/MCG.2017.3621224

Name profiler toolkit

Feng Wang, Brett Hansen, Ryan Simmons, Ross Maciejewski

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The Name Profiler Toolkit is a visual analytics system designed to enable the interactive exploration and analysis of forename and surname geographical distributions across the United States. The toolkit utilizes 78 million records from US public telephone directories, links the location data to demographic data from the US Census Bureau and Zillow, and allows users to interactively compare distributions of names and name attributes. Using the forename and surname data as a case study, the authors developed a methodology for exploring joint probability distributions of categorical spatial data and demonstrate how such data can be linked to secondary sources of information (such as income and age) to derive further insights from the data.

Original language	English (US)
Article number	8047459
Pages (from-to)	61-71
Number of pages	11
Journal	IEEE Computer Graphics and Applications
Volume	37
Issue number	5
DOIs	https://doi.org/10.1109/MCG.2017.3621224
State	Published - 2017

Keywords

Name Profiler Toolkit
computer graphics
data visualization
density estimation
geo-genealogy
geographic data science
geographical visualization
visual analytics

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/MCG.2017.3621224

Cite this

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title = "Name profiler toolkit",

abstract = "The Name Profiler Toolkit is a visual analytics system designed to enable the interactive exploration and analysis of forename and surname geographical distributions across the United States. The toolkit utilizes 78 million records from US public telephone directories, links the location data to demographic data from the US Census Bureau and Zillow, and allows users to interactively compare distributions of names and name attributes. Using the forename and surname data as a case study, the authors developed a methodology for exploring joint probability distributions of categorical spatial data and demonstrate how such data can be linked to secondary sources of information (such as income and age) to derive further insights from the data.",

keywords = "Name Profiler Toolkit, computer graphics, data visualization, density estimation, geo-genealogy, geographic data science, geographical visualization, visual analytics",

author = "Feng Wang and Brett Hansen and Ryan Simmons and Ross Maciejewski",

note = "Funding Information: This work was supported in part by the US Department of Homeland Security{\textquoteright}s VACCINE Center under award 2009-ST-061-CI0001 and by the National Science Foundation under grant 1350573. Publisher Copyright: {\textcopyright} 1981-2012 IEEE.",

year = "2017",

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language = "English (US)",

volume = "37",

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AU - Wang, Feng

AU - Hansen, Brett

AU - Simmons, Ryan

AU - Maciejewski, Ross

N1 - Funding Information: This work was supported in part by the US Department of Homeland Security’s VACCINE Center under award 2009-ST-061-CI0001 and by the National Science Foundation under grant 1350573. Publisher Copyright: © 1981-2012 IEEE.

PY - 2017

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AB - The Name Profiler Toolkit is a visual analytics system designed to enable the interactive exploration and analysis of forename and surname geographical distributions across the United States. The toolkit utilizes 78 million records from US public telephone directories, links the location data to demographic data from the US Census Bureau and Zillow, and allows users to interactively compare distributions of names and name attributes. Using the forename and surname data as a case study, the authors developed a methodology for exploring joint probability distributions of categorical spatial data and demonstrate how such data can be linked to secondary sources of information (such as income and age) to derive further insights from the data.

KW - Name Profiler Toolkit

KW - computer graphics

KW - data visualization

KW - density estimation

KW - geo-genealogy

KW - geographic data science

KW - geographical visualization

KW - visual analytics

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Name profiler toolkit

Abstract

Keywords

ASJC Scopus subject areas

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