GEOG 588 - Final Project: This project assesses the relationship between Airbnb listing distribution and mean household income across the Boston, Massachusetts neighborhoods. A rarely assessed relationship, this project closes the gap in understanding by combining US Census income data with that of Airbnb listings. This produced a process for assessing other variable relationships to Airbnb listing distribution. Utilizing exploratory analysis and linear regression, mean household income and Airbnb listing distribution was found to have no correlation. Utilizing the methodologies employed in this study, future analysis can be performed to expand the variables assessed to include greater demographic characteristics within each neighborhood.

A rough draft of term project "A Spatial Analysis of Income on Prevalence of Airbnb Listings in Boston" for GEOG 588 utilizing Boston as the region of focus and spatial statistic methods, assessing which neighborhoods see the highest occupancy rate, and determine if this relates to the mean household income of each neighborhood.

This project will utilize US Census data through tidycensus. This project will consist of two parts. The first part will assess the percentage of the population in each county that has a graduate degree through non-spatial means. The second part will assess the median household incomes by Census tract within the county of Suffolk utilizing ggplot2 and mapview. This county holds the city of Boston and surrounding metropolitan area.

GEOG588 Lab 4 - Part B Report

GEOG588 Lab 4 Part A Report on tornado data

A short study on the insights gained from Vessel Traffic Data sourced from Marine Cadastre for teh Port of Corpus Christi, TX.