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Tuesday, May 14 • 8:00am - 5:00pm
POSTER: Demographic Factors Influencing the Spatial Distribution of Lottery Store Cash Prize Payouts

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AUTHORS: Sasha Powers, and another student, TBD.

ABSTRACT: Students were introduced to ArcGIS this year. They were given 3 data sets, each with over 1600 features, of lottery stores. Attributes included name, location, and total store prize payout ($) in 2017. Students were shown how to upload csv files to ArcMap, how to symbolize the data, and how to use proportional symbology. Students were then asked to use demographics to analyze the spatial distribution of stores that had above average prize payouts. Students were shown how to locate data layers from ArcGIS Online, how to filter the data, and how to use analysis tools such as Aggregate.Data. Students created a count of points data table to determine the % of above average payout stores located in census blockgroups characterized by one, two, or three attributes: '25% or more of the population is identified as minority, 25% or more of the households have an income below 65% of the 2010 state median, and/or 25% of the households include no one over the age of 14 who speaks English well or very well.' This data layer was called the MA Environmental Justice layer. Students found a disproportionate number of stores were found in these census blockgroups and that this phenomenon was 2-3 times greater than comparable stores in neighborhoods with high median income ($1000,000). Students noted that given this findings, the lottery as a revenue tool raises many questions for further discussion and analysis.

Tuesday May 14, 2019 8:00am - 5:00pm EDT
STUDENT CENTER: 1st Floor Lobby (Appian Way Entrance)

Attendees (1)