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A Practical Guide to Phylogenetics for Nonexperts
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Name Profiler Toolkit.

Feng Wang, Brett Hansen, Ryan Simmons

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    Summary
    This summary is machine-generated.

    The Name Profiler Toolkit visualizes name distributions across the US using 78 million phone records and demographic data. This system enables interactive analysis of forename and surname geographical patterns and attributes.

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    Area of Science:

    • Computational social science
    • Geographic information science
    • Data visualization

    Background:

    • Analyzing geographical distributions of names provides insights into population history and migration.
    • Existing tools often lack interactive capabilities for exploring complex spatial name data.
    • Integrating diverse datasets (e.g., phone records, census data) is crucial for comprehensive analysis.

    Purpose of the Study:

    • To introduce the Name Profiler Toolkit, a visual analytics system for exploring name geographical distributions in the US.
    • To develop and demonstrate a methodology for analyzing joint probability distributions of categorical spatial data.
    • To showcase the integration of name data with demographic information for enhanced insights.

    Main Methods:

    • Utilized 78 million US public telephone directory records for name and location data.
    • Linked name location data with demographic information from the US Census Bureau and Zillow.
    • Developed interactive visualization techniques for comparing name distributions and attributes.

    Main Results:

    • The Name Profiler Toolkit enables interactive exploration of forename and surname geographical distributions.
    • Demonstrated a methodology for analyzing joint probability distributions of categorical spatial data.
    • Successfully linked name data with secondary sources (income, age) to derive further insights.

    Conclusions:

    • Visual analytics systems like the Name Profiler Toolkit are valuable for understanding name geography.
    • The developed methodology offers a framework for analyzing complex spatial categorical data.
    • Integrating diverse datasets significantly enhances the depth of insights obtainable from name distribution studies.