T-Mobile Has Renters Covered in Los Angeles County Acknowledgments I would like to thank Professor John Wilson, Susan Kamei and Melissa Salido of the USC Spatial Sciences Institute for their mentorship and support and UCLA GEOG7 Professor Luis Alvarez for his patience and advice. Courtney Fassett Junior, Northwood High School, Irvine, CA Final Project for Geography 7 – Introduction to Geographic Information Systems (5 unit Online Summer 2014 Course through UCLA Department of Geography) Objective This project maps and analyzes T-Mobile’s cell tower coverage by contrasting 4 LA County Housing and Population demographic categories: 1. Owned with Mortgage Housing Units, 2) Owned Free/Clear, 3) Rented Housing Units, and 4) Overall Population. As seen in the four maps below, T-Mobile primarily serves central and south LA. Our objective was to understand what types of people T-Mobile is catering to in these regions. References Demographics – American Fact Finder Locational Data – Tiger/Line Conclusions I observed that T-Mobile’s cell towers correlate with the Overall Population density of LA County. There is a strong correlation with the Rented Housing demographic and a weak correlation with the Owned and Mortgaged Housing demographic. This suggests T-Mobile’s marketing strategy targets demographic groups associated with Renters and invites inquiry into why other demographic segments are not as attractive to them. Software, Methods and Designs This analysis uses QGIS, a free and open source software program. To create these maps, we obtained population and demographic information from American Fact Finder. In addition, the underlying map of LA county was a Tiger/Line Shapefile from the US Census Bureau. Lastly, the T-Mobile cell site layer was provided as a pre-made Shapefile by Professor Luis Alvarez. Clarity, Correlation and Purpose These maps are organized around three elements: • Clarity • Correlation • Purpose To allow viewers to clearly interpret the maps, I included a zoomed in map of Downtown and Central Los Angeles so the housing demographics became much easier to read. These maps also incorporate graduated color schemes that help the viewer correlate the housing demographics with T-Mobile’s coverage. Lastly, the ultimate purpose of my five maps is to contrast the demographics and highlight the most populous areas of T-Mobile’s cellular coverage. Presenting Sponsor Project Software
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
T-Mobile Has Renters Covered in Los Angeles County
Acknowledgments I would like to thank Professor John Wilson, Susan Kamei and Melissa Salido of the USC Spatial Sciences Institute for their mentorship and support and UCLA GEOG7 Professor Luis Alvarez for his patience and advice.
Courtney Fassett Junior, Northwood High School, Irvine, CA
Final Project for Geography 7 – Introduction to Geographic Information Systems (5 unit Online Summer 2014 Course through UCLA Department of Geography)
Objective This project maps and analyzes T-Mobile’s cell tower coverage by contrasting 4 LA County Housing and Population demographic categories: 1. Owned with Mortgage Housing Units, 2) Owned Free/Clear, 3) Rented Housing Units, and 4) Overall Population. As seen in the four maps below, T-Mobile primarily serves central and south LA. Our objective was to understand what types of people T-Mobile is catering to in these regions.
References Demographics – American Fact Finder Locational Data – Tiger/Line
Conclusions I observed that T-Mobile’s cell towers correlate with the Overall Population density of LA County. There is a strong correlation with the Rented Housing demographic and a weak correlation with the Owned and Mortgaged Housing demographic. This suggests T-Mobile’s marketing strategy targets demographic groups associated with Renters and invites inquiry into why other demographic segments are not as attractive to them.
Software, Methods and Designs This analysis uses QGIS, a free and open source software program. To create these maps, we obtained population and demographic information from American Fact Finder. In addition, the underlying map of LA county was a Tiger/Line Shapefile from the US Census Bureau. Lastly, the T-Mobile cell site layer was provided as a pre-made Shapefile by Professor Luis Alvarez.
Clarity, Correlation and Purpose These maps are organized around three elements:
• Clarity
• Correlation
• Purpose
To allow viewers to clearly interpret the maps, I included a zoomed in map of Downtown and Central Los Angeles so the housing demographics became much easier to read. These maps also incorporate graduated color schemes that help the viewer correlate the housing demographics with T-Mobile’s coverage. Lastly, the ultimate purpose of my five maps is to contrast the demographics and highlight the most populous areas of T-Mobile’s cellular coverage.
Presenting Sponsor Project Software
Related Documents
