Presenters

gavin smithFollow

Academic department under which the project should be listed

RCHSS - Geography & Anthropology

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Faculty Sponsor Name

Uli Ingram

Disciplines

Geographic Information Sciences | Geography | Physical and Environmental Geography

Abstract (300 words maximum)

This analysis is aimed at finding the correlation between two factors. Those are the average GDP by county in the state of Georgia, and the physical location of cities in Georgia. However, the data will be focused on the majority of Georgia and its metro area, excluding much of South Georgia. Using maps and its data as a reference, we can determine the average income among the entirety of Atlanta, surrounding cities, and its suburban neighbors. With this analysis, I will explain the significance of living in cities as it relates to overall earnings. Also, with the correlation found between these two data sets, other factors such as cost of living are considered when reviewing. In short, the purpose of this research is to compare the data and explain the misconceptions of how the data may appear on the map. One is the ratio of earnings vs. expenses and how different areas have different ratios. The way of life in Georgia varies across the state, and Atlanta at the center of the state will be the main focus point.

Project Type

Poster

How will this be presented?

Yes, asynchronously via recorded video upload

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An Analysis on the Relationship Between the Location of Cities in Georgia and Average Income by County

This analysis is aimed at finding the correlation between two factors. Those are the average GDP by county in the state of Georgia, and the physical location of cities in Georgia. However, the data will be focused on the majority of Georgia and its metro area, excluding much of South Georgia. Using maps and its data as a reference, we can determine the average income among the entirety of Atlanta, surrounding cities, and its suburban neighbors. With this analysis, I will explain the significance of living in cities as it relates to overall earnings. Also, with the correlation found between these two data sets, other factors such as cost of living are considered when reviewing. In short, the purpose of this research is to compare the data and explain the misconceptions of how the data may appear on the map. One is the ratio of earnings vs. expenses and how different areas have different ratios. The way of life in Georgia varies across the state, and Atlanta at the center of the state will be the main focus point.

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